[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"926e4ba79d7cf7e80e53fc3aa3ef5071680d6b6b5120c37641b588a4be11742f","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\",\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in\",\"course\":null,\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics PhD\",\"course\":null,\"evidence\":\"Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science PhD\",\"course\":null,\"evidence\":\"Biomedical Data Science PhD\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science MS\",\"course\":null,\"evidence\":\"Biomedical Data Science MS\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Business PhD\",\"course\":null,\"evidence\":\"Business PhD\",\"id\":\"n5\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics Doctoral Minor\",\"course\":null,\"evidence\":\"Statistics Doctoral Minor\",\"id\":\"n6\",\"kind\":\"condition\"}],\"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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"926e4ba79d7cf7e80e53fc3aa3ef5071680d6b6b5120c37641b588a4be11742f","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-2978ec7e9ac23a465ccaacbb","output_id":"926e4ba79d7cf7e80e53fc3aa3ef5071680d6b6b5120c37641b588a4be11742f","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"182a0f1bab11f74047f3da7fe76b8c734fd5a3632edfbee40c0238b4d3d66682","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n0\",\"n1\",\"n2\",\"n3\",\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"Statistics\"],\"timing\":\"prior\"},\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"Statistics\"],\"timing\":\"prior\"},\"evidence\":\"Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"Biomedical Data Science\"],\"timing\":\"prior\"},\"evidence\":\"Biomedical Data Science PhD\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"Biomedical Data Science\"],\"timing\":\"prior\"},\"evidence\":\"Biomedical Data Science MS\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"Business\"],\"timing\":\"prior\"},\"evidence\":\"Business PhD\",\"id\":\"n5\",\"kind\":\"condition\"}],\"notes\":[\"Program names are treated as verbatim conditions as they are not in linked_courses.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","error":"Node n0 references itself; remove the self-reference.\nCycle reaches node n0; requirement graphs must be trees.","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"182a0f1bab11f74047f3da7fe76b8c734fd5a3632edfbee40c0238b4d3d66682","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"182a0f1bab11f74047f3da7fe76b8c734fd5a3632edfbee40c0238b4d3d66682","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"51ca9e0e2d24a250b83421a6fe18f2c75cd514d3f6142a5e48e28842035ba8df","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\",\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in\",\"course\":null,\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics PhD\",\"course\":null,\"evidence\":\"Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science PhD\",\"course\":null,\"evidence\":\"Biomedical Data Science PhD\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science MS\",\"course\":null,\"evidence\":\"Biomedical Data Science MS\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Business PhD\",\"course\":null,\"evidence\":\"Business PhD\",\"id\":\"n5\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics Doctoral Minor\",\"course\":null,\"evidence\":\"Statistics Doctoral Minor\",\"id\":\"n6\",\"kind\":\"condition\"}],\"notes\":[],\"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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"51ca9e0e2d24a250b83421a6fe18f2c75cd514d3f6142a5e48e28842035ba8df","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"51ca9e0e2d24a250b83421a6fe18f2c75cd514d3f6142a5e48e28842035ba8df","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-789789da373eecc1ff75f626","output_id":"03c1c20054b947cbb94bae093dccefb23dbae052b27de5f2c4f9a0a15735d9cb","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\",\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Biomedical Data Science PhD\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Biomedical Data Science MS\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Business PhD\",\"id\":\"n5\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics Doctoral Minor\",\"id\":\"n6\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Node n2: evidence 'Declared in Statistics PhD' must quote an exact source substring.\nNode n3: evidence 'Declared in Biomedical Data Science PhD' must quote an exact source substring.\nNode n4: evidence 'Declared in Biomedical Data Science MS' must quote an exact source substring.\nNode n5: evidence 'Declared in Business PhD' must quote an exact source substring.\nNode n6: evidence 'Declared in Statistics Doctoral Minor' must quote an exact source substring.","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-789789da373eecc1ff75f626","output_id":"03c1c20054b947cbb94bae093dccefb23dbae052b27de5f2c4f9a0a15735d9cb","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-789789da373eecc1ff75f626","output_id":"03c1c20054b947cbb94bae093dccefb23dbae052b27de5f2c4f9a0a15735d9cb","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\",\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in\",\"course\":null,\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics PhD\",\"course\":null,\"evidence\":\"Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science PhD\",\"course\":null,\"evidence\":\"Biomedical Data Science PhD\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Biomedical Data Science MS\",\"course\":null,\"evidence\":\"Biomedical Data Science MS\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Business PhD\",\"course\":null,\"evidence\":\"Business PhD\",\"id\":\"n5\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics Doctoral Minor\",\"course\":null,\"evidence\":\"Statistics Doctoral Minor\",\"id\":\"n6\",\"kind\":\"condition\"}],\"notes\":[],\"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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"4f661a6669a0216ada940bc7aea868b25520a0f79c9df1eec99ed554369885f9","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"2a296be23852b7e8c61b066b556d6a78ab8ac1e979dc89464ebbcc392d6c4ffd\",\"course_id\":\"STAT 849\",\"current_instructors\":[{\"instructor_uid\":\"instructor_c04e94be344db6b0ccd69f5f\",\"message\":\"No course-specific reviews available\",\"name\":\"Yinqiu He\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades).\"}]}],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.66 GPA, 88.0% A/AB (n=25 letter grades); Fall 2024: 3.52 GPA, 69.7% A/AB (n=33 letter grades); Fall 2025: 3.64 GPA, 85.7% A/AB (n=7 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1232\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"STAT 849\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"source_record\":{\"entity_id\":\"d26c070d-da84-3a1a-b0b1-edb7d2deeeb3\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"YINQIU HE is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.\"}],\"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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"f046ad3b15bb1f21928fbaebe775af558f0b97b3945dbf9f6b2976e71ff4056c","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\",\"n5\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS, Statistics PhD, Biomedical Data Science PhD, Biomedical Data Science MS, Business PhD, or Statistics Doctoral Minor\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Statistics PhD\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Biomedical Data Science PhD, Biomedical Data Science MS\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Business PhD\",\"id\":\"n4\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Statistics Doctoral Minor\",\"id\":\"n5\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Non-course conditions must preserve verbatim source 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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"f046ad3b15bb1f21928fbaebe775af558f0b97b3945dbf9f6b2976e71ff4056c","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"advanced statistical methods\",\"generalized linear models\",\"random effect models\",\"experimental design\",\"model selection\",\"STAT 849 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Apply these techniques to dataset in specific contexts\"}],\"text\":\"Apply statistical techniques to datasets in specific contexts\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"title\",\"quote\":\"ADVANCED STATISTICAL METHODS\"},{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Gain thorough grounding in modern statistical methods and theory\"}],\"text\":\"STAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"Classical and modern statistical techniques\"}],\"text\":\"Classical and modern statistical techniques\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"linear regression models\"}],\"text\":\"Linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"diagnostic tools\"}],\"text\":\"Diagnostic tools\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"prediction\"}],\"text\":\"Prediction\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"generalized linear regression models\"}],\"text\":\"Generalized linear regression models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"random effect models\"}],\"text\":\"Random effect models\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"experimental design\"}],\"text\":\"Experimental design\"},{\"evidence\":[{\"course_id\":\"STAT 849\",\"field\":\"description\",\"quote\":\"model selection\"}],\"text\":\"Model selection\"}]}","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_33ae6065fb867f7eec7ff60c","course_id":"STAT 849","catalog_version_id":"62674e8392c3a2a2e667207715e51234fd556fbcd31832f663e416d67cc3ffeb","record_version_id":"07741a4a3eba58c460a574d3e7faf68bc2019abaa18a17d187616b6016050dee","job_id":"enrich-dab8f6acaa72f26086773521","output_id":"f046ad3b15bb1f21928fbaebe775af558f0b97b3945dbf9f6b2976e71ff4056c","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}]