[{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"ee651a54f04d5b756de1f8b4a143e0560a07096b2a70cff11eb3d4064a4bce09","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"r1\",\"r2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"r1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"E C E 830\",\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"r2\",\"kind\":\"condition\"}],\"notes\":[\"ECE 830 is not present in linked_courses, so it is retained as a condition node rather than an invented course reference.\"],\"root\":\"root\",\"status\":\"needs_review\"}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":true},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"ee651a54f04d5b756de1f8b4a143e0560a07096b2a70cff11eb3d4064a4bce09","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"label\":\"mathematical-reasoning\"}],\"assumed_background\":[],\"search_phrases\":[\"theoretical foundations of machine learning\",\"statistical learning theory\",\"Vapnik-Chevronenkis Theory\",\"model selection\",\"high-dimensional models\",\"nonparametric methods\",\"probabilistic analysis\",\"optimization\",\"learning paradigms\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning. Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Theoretical Foundations of Machine Learning covers advanced mathematical theory including statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, and.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":true},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"ee651a54f04d5b756de1f8b4a143e0560a07096b2a70cff11eb3d4064a4bce09","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":true},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"ee651a54f04d5b756de1f8b4a143e0560a07096b2a70cff11eb3d4064a4bce09","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"32e8969013234837d708c4403464985def5f99eba81da098ef5ca0a148710746\",\"course_id\":\"COMPSCI/ECE/STAT 861\",\"current_instructors\":[{\"instructor_uid\":\"instructor_891e98e7cb82bcc0ff27c432\",\"message\":\"No course-specific reviews available\",\"name\":\"Jerry Zhu\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":\"rmp:1785920\",\"summary\":[]}],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"3f5110430805ccdd533c0c072df62d68a8a5f5441c4530bbdb15d419a199a09c\",\"quick_take\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.86 GPA, 100.0% A/AB (n=22 letter grades); Fall 2024: 3.86 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.69 GPA, 83.3% A/AB (n=24 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"9dea82ef7f2113a5605c1c6030c4f9b19967eb742cc93a78268fb92357d29f5c\",\"teaching_history\":[],\"term_id\":\"1274\",\"term_name\":\"2027 Sprng\",\"version\":3}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"db868912f965a52a1b04aa2ef2da1057a30129073d6e2d69f262030c68d6f824","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"E C E 830\",\"course\":null,\"evidence\":\"E C E 830\",\"id\":\"n2\",\"kind\":\"condition\"}],\"notes\":[\"ECE 830 is mentioned in requirements but not found in linked_courses or course lookup; treated as a verbatim condition requiring review.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"db868912f965a52a1b04aa2ef2da1057a30129073d6e2d69f262030c68d6f824","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Knowledge of probability [such asMATH/STAT 431orCOMP SCI/E C E 561] and linear algebra [such asMATH 341orM E/COMP SCI/E C E 532] is required.\"}],\"text\":\"Probability and linear algebra\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Mathematical foundations of machine learning theory and algorithms.\"}],\"text\":\"Mathematical foundations of machine learning\"}],\"search_phrases\":[\"theoretical machine learning\",\"statistical learning theory\",\"VC theory\",\"high-dimensional models\",\"optimization methods\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Statistical learning theory and model selection\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Probabilistic analysis and optimization\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\"}],\"text\":\"Advanced mathematical theory and methods of machine learning, covering statistical learning theory, model selection, and optimization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods\"}],\"text\":\"Statistical learning theory and Vapnik-Chevronenkis Theory\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"High-dimensional models and nonparametric methods\"}]}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"db868912f965a52a1b04aa2ef2da1057a30129073d6e2d69f262030c68d6f824","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"77273e12c78eaa86bdd99325f29df1293c5b50c4187f5e80013bd372e2ab2e28","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"E C E 830\",\"course\":null,\"evidence\":\"E C E 830\",\"id\":\"n2\",\"kind\":\"condition\"}],\"notes\":[\"ECE 830 is mentioned in requirements but not found in linked_courses or course lookup; treated as a verbatim condition requiring review.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"77273e12c78eaa86bdd99325f29df1293c5b50c4187f5e80013bd372e2ab2e28","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Knowledge of probability [such asMATH/STAT 431orCOMP SCI/E C E 561] and linear algebra [such asMATH 341orM E/COMP SCI/E C E 532] is required.\"}],\"text\":\"Probability and linear algebra\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Mathematical foundations of machine learning theory and algorithms.\"}],\"text\":\"Mathematical foundations of machine learning\"}],\"search_phrases\":[\"theoretical machine learning\",\"statistical learning theory\",\"VC theory\",\"high-dimensional models\",\"optimization methods\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Statistical learning theory and model selection\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Probabilistic analysis and optimization\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\"}],\"text\":\"Advanced mathematical theory and methods of machine learning, covering statistical learning theory, model selection, and optimization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods\"}],\"text\":\"Statistical learning theory and Vapnik-Chevronenkis Theory\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"High-dimensional models and nonparametric methods\"}]}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"77273e12c78eaa86bdd99325f29df1293c5b50c4187f5e80013bd372e2ab2e28","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":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-6556a505c10f448d98d02466","output_id":"ba4642404494d8d5f5a772207255ec1ecb4124c63fc78c0a5ac79829496a424a","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"r1\",\"r2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"ECE\",\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"r1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":830,\"minimum_grade\":null,\"subjects\":[\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E 830\",\"id\":\"r2\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"root\",\"status\":\"parsed\"}","error":"Node r2: course {'course_number': 830, 'minimum_grade': None, 'subjects': ['ECE'], 'timing': 'prior'} is absent from the source links (linked_courses). Standing, declared programs, and subject credit counts are condition nodes, not courses. Never invent course 0. For a source reference absent from linked_courses, use kind=condition, course=null, condition=<verbatim source clause>, children=[], and needs_review with an explanatory note. Allowed course references: [{'course_number': 761, 'subjects': ['COMPSCI', 'ECE']}].","model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-6556a505c10f448d98d02466","output_id":"ba4642404494d8d5f5a772207255ec1ecb4124c63fc78c0a5ac79829496a424a","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"label\":\"mathematical-reasoning\"}],\"assumed_background\":[],\"search_phrases\":[\"theoretical foundations of machine learning\",\"statistical learning theory\",\"Vapnik-Chevronenkis Theory\",\"model selection\",\"high-dimensional models\",\"nonparametric methods\",\"probabilistic analysis\",\"optimization\",\"learning paradigms\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning. Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Theoretical Foundations of Machine Learning covers advanced mathematical theory including statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, and.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-6556a505c10f448d98d02466","output_id":"ba4642404494d8d5f5a772207255ec1ecb4124c63fc78c0a5ac79829496a424a","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-79348710a077dbb34341f483","output_id":"141114d8c0ddfac6b01cdd3a7cb0f8b4fc899df84fa037269d4a00a699f89fc8","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"r1\",\"r2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"r1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"E C E 830\",\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"r2\",\"kind\":\"condition\"}],\"notes\":[\"ECE 830 is not present in linked_courses, so it is retained as a condition node rather than an invented course reference.\"],\"root\":\"root\",\"status\":\"needs_review\"}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-79348710a077dbb34341f483","output_id":"141114d8c0ddfac6b01cdd3a7cb0f8b4fc899df84fa037269d4a00a699f89fc8","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"label\":\"mathematical-reasoning\"}],\"assumed_background\":[],\"search_phrases\":[\"theoretical foundations of machine learning\",\"statistical learning theory\",\"Vapnik-Chevronenkis Theory\",\"model selection\",\"high-dimensional models\",\"nonparametric methods\",\"probabilistic analysis\",\"optimization\",\"learning paradigms\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning. Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Theoretical Foundations of Machine Learning covers advanced mathematical theory including statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, and.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\",\"source_url\":\"https://guide.wisc.edu/courses/comp_sci/\"}],\"text\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, and learning paradigms.\"}]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"680f8fae5c29c92a9c14f49721d4811e83fd8791b8f6f5bc709609e139c479e7","job_id":"enrich-79348710a077dbb34341f483","output_id":"141114d8c0ddfac6b01cdd3a7cb0f8b4fc899df84fa037269d4a00a699f89fc8","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"Qwen/Qwen3.8-27B","model_revision":"1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"b5bdcf8058facfd526596c913e9d0b5546ca1918c26eb15f03aeeca6f29a88cb","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"E C E/COMP SCI 761or E C E 830\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":761,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\",\"ECE\"],\"timing\":\"prior\"},\"evidence\":\"E C E/COMP SCI 761\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"E C E 830\",\"course\":null,\"evidence\":\"E C E 830\",\"id\":\"n2\",\"kind\":\"condition\"}],\"notes\":[\"ECE 830 is mentioned in requirements but not found in linked_courses or course lookup; treated as a verbatim condition requiring review.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"b5bdcf8058facfd526596c913e9d0b5546ca1918c26eb15f03aeeca6f29a88cb","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Knowledge of probability [such asMATH/STAT 431orCOMP SCI/E C E 561] and linear algebra [such asMATH 341orM E/COMP SCI/E C E 532] is required.\"}],\"text\":\"Probability and linear algebra\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE 761\",\"field\":\"description\",\"quote\":\"Mathematical foundations of machine learning theory and algorithms.\"}],\"text\":\"Mathematical foundations of machine learning\"}],\"search_phrases\":[\"theoretical machine learning\",\"statistical learning theory\",\"VC theory\",\"high-dimensional models\",\"optimization methods\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Statistical learning theory and model selection\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"Probabilistic analysis and optimization\"}],\"summary\":{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"title\",\"quote\":\"THEORETICAL FOUNDATIONS OF MACHINE LEARNING\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Advanced mathematical theory and methods of machine learning.\"}],\"text\":\"Advanced mathematical theory and methods of machine learning, covering statistical learning theory, model selection, and optimization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"Statistical learning theory, Vapnik-Chevronenkis Theory, model selection, high-dimensional models, nonparametric methods\"}],\"text\":\"Statistical learning theory and Vapnik-Chevronenkis Theory\"},{\"evidence\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"field\":\"description\",\"quote\":\"high-dimensional models, nonparametric methods, probabilistic analysis, optimization, learning paradigms.\"}],\"text\":\"High-dimensional models and nonparametric methods\"}]}","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"b5bdcf8058facfd526596c913e9d0b5546ca1918c26eb15f03aeeca6f29a88cb","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_f84cce2e31d7170db5bc7b84","course_id":"COMPSCI/ECE/STAT 861","catalog_version_id":"49ddbae3f3676d7653b3083250307a81a7393ebaca686ca03c5322c637772ac6","record_version_id":"59dfbb4c6307d863c4febb715d9fbc22181efe67318dfe39a9a44a52b68a7d94","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"b5bdcf8058facfd526596c913e9d0b5546ca1918c26eb15f03aeeca6f29a88cb","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"96f72d8c6f2f964be7d2458677b79b1f1863b8fb843c122c85e0e0210dae3b7a\",\"course_id\":\"COMPSCI/ECE/STAT 861\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"COMPSCI/ECE/STAT 861\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"e643cfcb-547c-307e-847d-4cf9d92b68a8\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.86 GPA, 100.0% A/AB (n=22 letter grades); Fall 2024: 3.86 GPA, 95.2% A/AB (n=21 letter grades); Fall 2025: 3.69 GPA, 83.3% A/AB (n=24 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":false}]