[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-091809327c957bc6b7163857","output_id":"09c9305ddbc9ad9e9b0fb868a496ac9b7cbc8d9640f26ae65f8a1fb8321a2a74","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program.\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n2\",\"kind\":\"not\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-091809327c957bc6b7163857","output_id":"09c9305ddbc9ad9e9b0fb868a496ac9b7cbc8d9640f26ae65f8a1fb8321a2a74","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"GENBUS 720\",\"field\":\"description\",\"quote\":\"Recommended for students to have general computing skills and familiarity with MS Word, MS Excel and MS PowerPoint; introductory-level exposure to coding in any language; some R experience; basic statistical literacy, equivalent to at least one semester of statistics.\"}],\"text\":\"General computing skills, basic coding exposure, R experience, and basic statistics.\"},{\"evidence\":[{\"course_id\":\"GENBUS 780\",\"field\":\"description\",\"quote\":\"Provides an overview of cloud services that support business analytics. Load and analyze data, build and deploy machine learning models, and develop data pipelines through hands-on, in-class activities working in cloud environments.\"}],\"text\":\"Understanding of cloud services, data pipelines, and machine learning model deployment.\"}],\"search_phrases\":[\"data visualization business analytics\",\"cloud technologies data warehouse\",\"machine learning deployment business\",\"GENBUS 883 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Creating and sharing data visualizations for decision making.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Building scalable data warehouses, analyzing big data, and deploying machine learning models.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Covers data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization\"}],\"text\":\"Data visualization\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"cloud technologies\"}],\"text\":\"Cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"scalable data warehouses\"}],\"text\":\"Scalable data warehouses\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"big data\"}],\"text\":\"Big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-091809327c957bc6b7163857","output_id":"09c9305ddbc9ad9e9b0fb868a496ac9b7cbc8d9640f26ae65f8a1fb8321a2a74","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"469bab54e12c1811307de9b70214fee4c2cf08b6fb34aaf896fae8869e183d86","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780\",\"id\":\"n4\",\"kind\":\"not\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[\"Root n0 is 'all' with children n1, n2 (standing conditions) and n4 (exclusion).\",\"Standing conditions n1 and n2 are condition nodes.\",\"Exclusion n4 is 'not' of n5.\",\"n5 is 'any' of excluded courses n6 and n7.\"],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"469bab54e12c1811307de9b70214fee4c2cf08b6fb34aaf896fae8869e183d86","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"GENBUS 883 data visualization cloud technologies\",\"business analytics data warehouse machine learning\",\"Wisconsin GENBUS 883 syllabus\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"469bab54e12c1811307de9b70214fee4c2cf08b6fb34aaf896fae8869e183d86","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"553b4818562bf9cd355f27e28d05b29fb54d233fd7684e19cbeaa73cfc4081a7","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n0\",\"n1\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program.\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":883,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"unspecified\"},\"evidence\":\"Graduate/professional standing\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n3\",\"kind\":\"not\"},{\"children\":[\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n4\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n5\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n6\",\"kind\":\"course\"}],\"notes\":[\"The exclusion 'Not open to students with credit forGEN BUS 720or780' is parsed as a global exclusion (not(any(GENBUS 720, GENBUS 780))).\",\"GENBUS 720 and GENBUS 780 are linked courses, so they are treated as canonical course nodes.\",\"The 'or' in the standing requirement is parsed as an any node.\",\"The 'or' in the exclusion is parsed as an any node within the not node.\"],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Node n0 references itself; remove the self-reference.\nNode n3 references itself; remove the self-reference.\nCycle reaches node n0; requirement graphs must be trees.\nUnreachable nodes: n2, n3, n4, n5, n6; connect all conditions and exclusions to the root.\nMissing global exclusion 'Not open to students with credit forGEN BUS 720or780': use a not node under the root all (or root not), with the full exclusion as evidence, applying to every eligibility alternative.","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"553b4818562bf9cd355f27e28d05b29fb54d233fd7684e19cbeaa73cfc4081a7","section":"search_profile","status":"invalid","value_json":null,"candidate_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"GENBUS 720\",\"field\":\"description\",\"quote\":\"Recommended for students to have general computing skills and familiarity with MS Word, MS Excel and MS PowerPoint; introductory-level exposure to coding in any language; some R experience; basic statistical literacy, equivalent to at least one semester of statistics.\"}],\"text\":\"General computing skills, familiarity with MS Office, introductory coding, some R experience, and basic statistical literacy.\"},{\"evidence\":[{\"course_id\":\"GENBUS 780\",\"field\":\"description\",\"quote\":\"Provides an overview of cloud services that support business analytics. Load and analyze data, build and deploy machine learning models, and develop data pipelines through hands-on, in-class activities working in cloud environments.\"}],\"text\":\"Overview of cloud services, data loading/analysis, machine learning model deployment, and data pipeline development in cloud environments.\"}],\"search_phrases\":[\"data visualization business analytics\",\"cloud technologies data warehouse\",\"machine learning deployment business\",\"big data analysis cloud\",\"GENBUS 883 data visualization\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"GENBUS 883 teaches data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies for business analytics.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment.\"}]}","error":"GENBUS 720 is listed in a credit exclusion, not a positive prerequisite. Remove background claims imported from this excluded course; do not relabel taught content as assumed knowledge.","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"553b4818562bf9cd355f27e28d05b29fb54d233fd7684e19cbeaa73cfc4081a7","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"0f994b0fb69918e99d665732b946b823697218863b32ea81186c8accd4a52fec","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780\",\"id\":\"n4\",\"kind\":\"not\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[\"Root n0 is 'all' with children n1, n2 (standing conditions) and n4 (exclusion).\",\"Standing conditions n1 and n2 are condition nodes.\",\"Exclusion n4 is 'not' of n5.\",\"n5 is 'any' of excluded courses n6 and n7.\"],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"0f994b0fb69918e99d665732b946b823697218863b32ea81186c8accd4a52fec","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"GENBUS 883 data visualization cloud technologies\",\"business analytics data warehouse machine learning\",\"Wisconsin GENBUS 883 syllabus\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"0f994b0fb69918e99d665732b946b823697218863b32ea81186c8accd4a52fec","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f903b5a6a330e1834cc15af2fea109a5cb9c4b3afdb856361b360a8a8efca3d3","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":883,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"unspecified\"},\"evidence\":\"Graduate/professional standing\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780\",\"id\":\"n2\",\"kind\":\"not\"},{\"children\":[\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n3\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n5\",\"kind\":\"course\"}],\"notes\":[\"Root is an 'all' node combining standing requirements and exclusions.\",\"Standing requirement is a single 'course' node for GENBUS 883 with condition 'Graduate/professional standing' (implied by context, but requirements_text says 'Graduate/professional standing or declared...'). Let's re-read carefully. 'Graduate/professional standing or declared in graduate Business Exchange program.' This is an 'any' condition. But the error says nodes are unreachable. The structure must be a tree rooted at n0. n0 children are n1 and n2. n1 is the course node. n2 is the not node. n2 children are n3. n3 children are n4 and n5. n4 and n5 are the excluded courses. What about the standing requirement? The requirements_text says 'Graduate/professional standing or declared in graduate Business Exchange program.' This is a condition on the student. The course node n1 has timing 'unspecified'. The condition should be attached to the course node or be a separate node. The prompt says 'use a not node under the root all... with the full exclusion as evidence'. It doesn't explicitly say how to handle the standing. Usually, standing is a condition on the course. Let's put the standing as a condition on the course node n1. But the error says 'Unreachable nodes'. In my previous attempt, n2, n3, n5, n6, n7 were unreachable. That's because n0's children were n1 and n4, but n4 was the not node, and n2, n3 were children of n1? No, in the previous attempt, n0 children were n1 and n4. n1 was a course node. n4 was a not node. But n2 and n3 were children of n1? No, n1 had no children. n2 and n3 were not connected to n0. Ah, I see. In the previous attempt, I had n0 children [n1, n4]. n1 was a course node. n4 was a not node. But n2 and n3 were children of n1? No, n1 was a leaf. n2 and n3 were separate nodes not reachable from n0. That's the error. I need to connect everything to n0. The standing requirement is 'Graduate/professional standing or declared in graduate Business Exchange program'. This is an 'any' condition. So n0 should have children: a node for standing, and a node for exclusion. The standing node should be an 'any' node with two children: one for 'Graduate/professional standing' and one for 'declared in graduate Business Exchange program'. These are conditions. The course node should be a child of the standing node? Or is the course node separate? Typically, the course node is the main node, and conditions are attached. But the structure is a tree. Let's assume the root is an 'all' node. Its children are the standing requirement (an 'any' node) and the exclusion (a 'not' node). The standing 'any' node has two children: two condition nodes. The exclusion 'not' node has an 'any' child with two course nodes. Where does the course GENBUS 883 go? It should be a child of the root as well, or part of the standing requirement? No, the course is the thing being taken. The requirements are for taking the course. So the root 'all' node should have the course node and the conditions? No, usually the course node is the root or a child. Let's look at the example. The root is usually an 'all' or 'any' node. If the root is 'all', its children are the conditions and the course. So n0 (all) has children: n1 (any for standing), n2 (not for exclusion), n3 (course GENBUS 883). n1 (any) has children: n4 (condition: Graduate/professional standing), n5 (condition: declared in graduate Business Exchange program). n2 (not) has children: n6 (any for excluded courses), n7 (course GENBUS 720), n8 (course GENBUS 780). Wait, n6 is 'any' with children n7 and n8. Let's try this structure. n0 children: n1, n2, n3. n1 children: n4, n5. n2 children: n6. n6 children: n7, n8. All nodes are reachable from n0. n3 is the course. n4, n5 are conditions. n7, n8 are courses. This seems correct. Let's verify the evidence. n1 evidence: 'Graduate/professional standing or declared in graduate Business Exchange program.' n4 evidence: 'Graduate/professional standing'. n5 evidence: 'declared in graduate Business Exchange program'. n2 evidence: 'Not open to students with credit forGEN BUS 720or780'. n6 evidence: 'credit forGEN BUS 720or780'. n7 evidence: 'GEN BUS 720'. n8 evidence: '780'. n3 evidence: 'Graduate/professional standing' (or empty? The course node usually has the course reference. The evidence for the course node can be the course title or description. Let's use the course title or just leave it. The previous attempts had evidence for the course node as 'Graduate/professional standing' which was wrong. The course node should have the course reference. The evidence can be the course title. Let's use 'DATA VISUALIZATION & CLOUD TECHNOLOGIES' for n3. Actually, the course node's evidence is usually the course title or a quote from the course. Let's use the title. \"],\"root\":\"n0\",\"status\":\"parsed\"}","error":"\"Standing requirement is a single 'course' node for GENBUS 883 with condition 'Graduate/professional standing' (implied by context, but requirements_text says 'Graduate/professional standing or declared...'). Let's re-read carefully. 'Graduate/professional standing or declared in graduate Business Exchange program.' This is an 'any' condition. But the error says nodes are unreachable. The structure must be a tree rooted at n0. n0 children are n1 and n2. n1 is the course node. n2 is the not node. n2 children are n3. n3 children are n4 and n5. n4 and n5 are the excluded courses. What about the standing requirement? The requirements_text says 'Graduate/professional standing or declared in graduate Business Exchange program.' This is a condition on the student. The course node n1 has timing 'unspecified'. The condition should be attached to the course node or be a separate node. The prompt says 'use a not node under the root all... with the full exclusion as evidence'. It doesn't explicitly say how to handle the standing. Usually, standing is a condition on the course. Let's put the standing as a condition on the course node n1. But the error says 'Unreachable nodes'. In my previous attempt, n2, n3, n5, n6, n7 were unreachable. That's because n0's children were n1 and n4, but n4 was the not node, and n2, n3 were children of n1? No, in the previous attempt, n0 children were n1 and n4. n1 was a course node. n4 was a not node. But n2 and n3 were children of n1? No, n1 had no children. n2 and n3 were not connected to n0. Ah, I see. In the previous attempt, I had n0 children [n1, n4]. n1 was a course node. n4 was a not node. But n2 and n3 were children of n1? No, n1 was a leaf. n2 and n3 were separate nodes not reachable from n0. That's the error. I need to connect everything to n0. The standing requirement is 'Graduate/professional standing or declared in graduate Business Exchange program'. This is an 'any' condition. So n0 should have children: a node for standing, and a node for exclusion. The standing node should be an 'any' node with two children: one for 'Graduate/professional standing' and one for 'declared in graduate Business Exchange program'. These are conditions. The course node should be a child of the standing node? Or is the course node separate? Typically, the course node is the main node, and conditions are attached. But the structure is a tree. Let's assume the root is an 'all' node. Its children are the standing requirement (an 'any' node) and the exclusion (a 'not' node). The standing 'any' node has two children: two condition nodes. The exclusion 'not' node has an 'any' child with two course nodes. Where does the course GENBUS 883 go? It should be a child of the root as well, or part of the standing requirement? No, the course is the thing being taken. The requirements are for taking the course. So the root 'all' node should have the course node and the conditions? No, usually the course node is the root or a child. Let's look at the example. The root is usually an 'all' or 'any' node. If the root is 'all', its children are the conditions and the course. So n0 (all) has children: n1 (any for standing), n2 (not for exclusion), n3 (course GENBUS 883). n1 (any) has children: n4 (condition: Graduate/professional standing), n5 (condition: declared in graduate Business Exchange program). n2 (not) has children: n6 (any for excluded courses), n7 (course GENBUS 720), n8 (course GENBUS 780). Wait, n6 is 'any' with children n7 and n8. Let's try this structure. n0 children: n1, n2, n3. n1 children: n4, n5. n2 children: n6. n6 children: n7, n8. All nodes are reachable from n0. n3 is the course. n4, n5 are conditions. n7, n8 are courses. This seems correct. Let's verify the evidence. n1 evidence: 'Graduate/professional standing or declared in graduate Business Exchange program.' n4 evidence: 'Graduate/professional standing'. n5 evidence: 'declared in graduate Business Exchange program'. n2 evidence: 'Not open to students with credit forGEN BUS 720or780'. n6 evidence: 'credit forGEN BUS 720or780'. n7 evidence: 'GEN BUS 720'. n8 evidence: '780'. n3 evidence: 'Graduate/professional standing' (or empty? The course node usually has the course reference. The evidence for the course node can be the course title or description. Let's use the course title or just leave it. The previous attempts had evidence for the course node as 'Graduate/professional standing' which was wrong. The course node should have the course reference. The evidence can be the course title. Let's use 'DATA VISUALIZATION & CLOUD TECHNOLOGIES' for n3. Actually, the course node's evidence is usually the course title or a quote from the course. Let's use the title. \" is too long","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f903b5a6a330e1834cc15af2fea109a5cb9c4b3afdb856361b360a8a8efca3d3","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"GENBUS 883 data visualization cloud technologies\",\"business analytics data warehouse machine learning\",\"Wisconsin GENBUS 883 syllabus\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f903b5a6a330e1834cc15af2fea109a5cb9c4b3afdb856361b360a8a8efca3d3","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"9a9fd1decd7148f06604f6683de6b082da67fb5547c021461eec2f390a4703a0","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780\",\"id\":\"n4\",\"kind\":\"not\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[\"Root n0 is 'all' with children n1, n2 (standing conditions) and n4 (exclusion).\",\"Standing conditions n1 and n2 are condition nodes.\",\"Exclusion n4 is 'not' of n5.\",\"n5 is 'any' of excluded courses n6 and n7.\"],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"9a9fd1decd7148f06604f6683de6b082da67fb5547c021461eec2f390a4703a0","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"GENBUS 883 data visualization cloud technologies\",\"business analytics data warehouse machine learning\",\"Wisconsin GENBUS 883 syllabus\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"9a9fd1decd7148f06604f6683de6b082da67fb5547c021461eec2f390a4703a0","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"9a9fd1decd7148f06604f6683de6b082da67fb5547c021461eec2f390a4703a0","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"01268dfda5b80c9ccd3c556c4b76949fa8812d4e954be04f222f9420071bf16e\",\"course_id\":\"GENBUS 883\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"GENBUS 883\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"08ae65f7-af6a-3258-bf65-c83f29dfdc82\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 883\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"08ae65f7-af6a-3258-bf65-c83f29dfdc82\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 883\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"08ae65f7-af6a-3258-bf65-c83f29dfdc82\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2025: 3.90 GPA, 97.6% A/AB (n=41 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=40 letter grades); Spring 2026: 3.87 GPA, 91.3% A/AB (n=23 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-9d64b35fa860f150b15f5868","output_id":"c59e2e3d097197ed25a817ab6a1feb1e9ba045cfe941601b60e0965f7a099533","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program.\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n5\",\"kind\":\"not\"},{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n3\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"credit for GENBUS 720\",\"course\":null,\"evidence\":\"credit forGEN BUS 720\",\"id\":\"n4\",\"kind\":\"condition\"}],\"notes\":[\"The phrase 'credit forGEN BUS 720or780' is parsed as a credit exclusion for either course. The 'or' is treated as an 'any' node within the 'not' exclusion. The 'credit for' qualifier is preserved in the condition leaf n4 as the specific phr\"],\"root\":\"n0\",\"status\":\"needs_review\"}","error":"Unreachable nodes: n3, n4, n5; connect all conditions and exclusions to the root.\nMissing global exclusion 'Not open to students with credit forGEN BUS 720or780': use a not node under the root all (or root not), with the full exclusion as evidence, applying to every eligibility alternative.","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-9d64b35fa860f150b15f5868","output_id":"c59e2e3d097197ed25a817ab6a1feb1e9ba045cfe941601b60e0965f7a099533","section":"search_profile","status":"invalid","value_json":null,"candidate_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Graduate/professional standing or declared in graduate Business Exchange program.\"}],\"text\":\"Graduate/professional standing or enrollment in the graduate Business Exchange program.\"}],\"search_phrases\":[\"data visualization business analytics\",\"cloud technologies data warehouse\",\"machine learning deployment business\",\"GENBUS 883 data visualization cloud\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses\"}],\"text\":\"Build scalable data warehouses using cloud technologies.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"analyze big data\"}],\"text\":\"Analyze big data.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Develop and deploy machine learning models.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"title\",\"quote\":\"DATA VISUALIZATION & CLOUD TECHNOLOGIES\"},{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics.\"}],\"text\":\"GENBUS 883 teaches data visualization and cloud technologies to support business analytics, including building data warehouses and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization\"}],\"text\":\"Data visualization.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"cloud technologies\"}],\"text\":\"Cloud technologies.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data warehouses\"}],\"text\":\"Data warehouses.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"big data\"}],\"text\":\"Big data.\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"machine learning models\"}],\"text\":\"Machine learning models.\"}]}","error":"Invalid evidence for GENBUS 883.description: 'Graduate/professional standing or declared in graduate Business Exchange program.'. Copy a short exact substring from supplied text; do not paraphrase or invent omitted text.","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-9d64b35fa860f150b15f5868","output_id":"c59e2e3d097197ed25a817ab6a1feb1e9ba045cfe941601b60e0965f7a099533","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"25a37ec9cf89fb4e3c95e72debc34746dc5c9e5dd9e83d066894ca2065cb2540","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program. Not open to students with credit forGEN BUS 720or780.\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program.\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":{\"course_number\":883,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"unspecified\"},\"evidence\":\"Graduate/professional standing\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":{\"course_number\":883,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"unspecified\"},\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Not open to students with credit forGEN BUS 720or780\",\"id\":\"n4\",\"kind\":\"not\"},{\"children\":[\"n6\",\"n7\"],\"condition\":null,\"course\":null,\"evidence\":\"credit forGEN BUS 720or780\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":720,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"GEN BUS 720\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":780,\"minimum_grade\":null,\"subjects\":[\"GENBUS\"],\"timing\":\"prior\"},\"evidence\":\"780\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[\"Root n0 is 'all' with children n1 (standing) and n4 (exclusion).\",\"n1 is 'any' with children n2 and n3 (course nodes with conditions).\",\"n4 is 'not' with child n5.\",\"n5 is 'any' with children n6 and n7 (excluded courses).\"],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Course requirement is absent from the source links","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"25a37ec9cf89fb4e3c95e72debc34746dc5c9e5dd9e83d066894ca2065cb2540","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"GENBUS 883 data visualization cloud technologies\",\"business analytics data warehouse machine learning\",\"Wisconsin GENBUS 883 syllabus\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Create and share compelling data visualizations to enhance decision making.\"}],\"text\":\"Create and share compelling data visualizations\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Build scalable data warehouses, analyze big data, and develop and deploy machine learning models\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.\"}],\"text\":\"Provides experience in data visualization and cloud technologies for business analytics, including building data warehouses, analyzing big data, and deploying machine learning models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"data visualization and cloud technologies to support business analytics\"}],\"text\":\"Data visualization and cloud technologies\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"build scalable data warehouses, analyze big data\"}],\"text\":\"Scalable data warehouses and big data analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 883\",\"field\":\"description\",\"quote\":\"develop and deploy machine learning models\"}],\"text\":\"Machine learning model development and deployment\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_04e99793b32064d1d2d6fa22","course_id":"GENBUS 883","catalog_version_id":"bcb0f5c2c68e4483945db1bc5e35c266dc691682b35b2822d5c4cfa360136130","record_version_id":"8e1af585922079e6e2595b9b153b437b9198038a0d290bfab3f72bdb3cb3a1b0","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"25a37ec9cf89fb4e3c95e72debc34746dc5c9e5dd9e83d066894ca2065cb2540","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false}]