[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c8d4e7a91c035fed6e4d26579f31f4c27a4f82fb3b85723d7d1799cae75a8a7","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n0\",\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"Declared in Statistics: Statistics and Data Science MS\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"Data Science MS\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":0,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"Data Engineering MS\",\"id\":\"n3\",\"kind\":\"condition\"}],\"notes\":[\"Course nodes use course_number 0 as placeholder; actual program names are verbatim conditions.\"],\"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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c8d4e7a91c035fed6e4d26579f31f4c27a4f82fb3b85723d7d1799cae75a8a7","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"statistical learning theory\",\"prediction from data\",\"decision making from data\",\"complexity theory statistics\",\"Hilbert spaces Gaussian processes\",\"variational analysis concentration inequalities\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"Understanding properties of models and methods for prediction and decision making\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"criticize such models, methods and their consequences\"}],\"text\":\"Criticizing models, methods, and their consequences\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"title\",\"quote\":\"STATISTICAL LEARNING\"},{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"The development of a variety of mathematical theories and statistical concepts (1) to understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"complexity theory\"}],\"text\":\"Complexity theory\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Hilbert spaces\"}],\"text\":\"Hilbert spaces\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Gaussian processes\"}],\"text\":\"Gaussian processes\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Variational Analysis\"}],\"text\":\"Variational Analysis\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"concentration inequalities\"}],\"text\":\"Concentration inequalities\"}]}","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"9c8d4e7a91c035fed6e4d26579f31f4c27a4f82fb3b85723d7d1799cae75a8a7","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"68b8ad8823dfbe7b179f09d4a79eebc8e3619e2fcedf7b0bb0e06a2ff465fb6a","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in Statistics\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics and Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Engineering MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n4\",\"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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"68b8ad8823dfbe7b179f09d4a79eebc8e3619e2fcedf7b0bb0e06a2ff465fb6a","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"statistical learning theory\",\"prediction from data\",\"decision making from data\",\"complexity theory statistics\",\"Hilbert spaces Gaussian processes\",\"variational analysis concentration inequalities\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"Understanding properties of models and methods for prediction and decision making\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"criticize such models, methods and their consequences\"}],\"text\":\"Criticizing models, methods, and their consequences\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"title\",\"quote\":\"STATISTICAL LEARNING\"},{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"The development of a variety of mathematical theories and statistical concepts (1) to understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"complexity theory\"}],\"text\":\"Complexity theory\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Hilbert spaces\"}],\"text\":\"Hilbert spaces\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Gaussian processes\"}],\"text\":\"Gaussian processes\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Variational Analysis\"}],\"text\":\"Variational Analysis\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"concentration inequalities\"}],\"text\":\"Concentration inequalities\"}]}","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"68b8ad8823dfbe7b179f09d4a79eebc8e3619e2fcedf7b0bb0e06a2ff465fb6a","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f9da36c09ca43a27c0f3004c9932fae6675b7eab32d5ac3aabdfbe0b5eccc009","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in Statistics\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics and Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Engineering MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n4\",\"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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f9da36c09ca43a27c0f3004c9932fae6675b7eab32d5ac3aabdfbe0b5eccc009","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"statistical learning theory\",\"prediction from data\",\"decision making from data\",\"complexity theory statistics\",\"Hilbert spaces Gaussian processes\",\"variational analysis concentration inequalities\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"Understanding properties of models and methods for prediction and decision making\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"criticize such models, methods and their consequences\"}],\"text\":\"Criticizing models, methods, and their consequences\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"title\",\"quote\":\"STATISTICAL LEARNING\"},{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"The development of a variety of mathematical theories and statistical concepts (1) to understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"complexity theory\"}],\"text\":\"Complexity theory\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Hilbert spaces\"}],\"text\":\"Hilbert spaces\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Gaussian processes\"}],\"text\":\"Gaussian processes\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Variational Analysis\"}],\"text\":\"Variational Analysis\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"concentration inequalities\"}],\"text\":\"Concentration inequalities\"}]}","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-789789da373eecc1ff75f626","output_id":"f9da36c09ca43a27c0f3004c9932fae6675b7eab32d5ac3aabdfbe0b5eccc009","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Declared in Statistics\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n1\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Statistics and Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n2\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Science MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n3\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"Data Engineering MS\",\"course\":null,\"evidence\":\"Declared in Statistics: Statistics and Data Science MS, Data Science MS, Data Engineering MS, or Statistics VISP\",\"id\":\"n4\",\"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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"statistical learning theory\",\"prediction from data\",\"decision making from data\",\"complexity theory statistics\",\"Hilbert spaces Gaussian processes\",\"variational analysis concentration inequalities\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"Understanding properties of models and methods for prediction and decision making\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"criticize such models, methods and their consequences\"}],\"text\":\"Criticizing models, methods, and their consequences\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"title\",\"quote\":\"STATISTICAL LEARNING\"},{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"The development of a variety of mathematical theories and statistical concepts (1) to understand the properties of those models and methods used for the purpose of prediction from data or decision making from data\"}],\"text\":\"STAT 615 develops mathematical theories and statistical concepts for understanding, predicting from, and criticizing data models.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"complexity theory\"}],\"text\":\"Complexity theory\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Hilbert spaces\"}],\"text\":\"Hilbert spaces\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Gaussian processes\"}],\"text\":\"Gaussian processes\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"Variational Analysis\"}],\"text\":\"Variational Analysis\"},{\"evidence\":[{\"course_id\":\"STAT 615\",\"field\":\"description\",\"quote\":\"concentration inequalities\"}],\"text\":\"Concentration inequalities\"}]}","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84","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_a5f4446c2434cfcb1b7e6969","course_id":"STAT 615","catalog_version_id":"58a548af23c1c6297de059134ca6851b8b6c6f3f70fe1ef00591347664833688","record_version_id":"96e437bb524f3ca953b53d1c84b6b391126db947e6754be1e32b0f664d9399ce","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"cc598cca7a28d2533e6c61093d04aafcc76f0540acacc98ca78dae68f8bc0d84","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"ad0bdc292ca0a34d5ee0cbd97994e155ff147cf1fe0d153e318190bee57bdc1c\",\"course_id\":\"STAT 615\",\"current_instructors\":[{\"instructor_uid\":\"instructor_f44b89c80752cccf153d0b17\",\"message\":\"No course-specific reviews available\",\"name\":\"JIAQI Tang\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":2,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades). Includes jointly taught sections.\"}]},{\"instructor_uid\":\"instructor_9a9d23bd68d5e518dce65eb2\",\"message\":\"No course-specific reviews available\",\"name\":\"Vivak Patel\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":\"rmp:2630806\",\"summary\":[{\"citations\":[{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":2,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1204\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2020: 3.79 GPA, 92.9% A/AB (n=28 letter grades). Includes jointly taught sections.\"}]}],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"},{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2025: 3.43 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.42 GPA, 77.8% A/AB (n=18 letter grades); Spring 2026: 3.17 GPA, 47.6% A/AB (n=21 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":2,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"JIAQI TANG is recorded teaching in Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.\"},{\"citations\":[{\"course_id\":\"STAT 615\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":2,\"source_course_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"source_record\":{\"entity_id\":\"094af2ce-2d3b-367f-a342-4bed13e6d30b\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1204\",\"type\":\"grade\"}],\"text\":\"VIVAK PATEL is recorded teaching in Spring 2020. 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}]