[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"2283aebe8d8b8a2ccdc845696321db808eeefd39adb2bbddb097dad33151665e","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Consent of instructor\",\"course\":null,\"evidence\":\"Consent of instructor\",\"id\":\"n0\",\"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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"2283aebe8d8b8a2ccdc845696321db808eeefd39adb2bbddb097dad33151665e","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"randomized algorithms data science\",\"linear algebra randomization\",\"computational complexity randomized methods\",\"STAT 772 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Develop the mathematical foundations of such randomized algorithms.\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Criticize these algorithms through the lens of computational resource utilization.\"}],\"text\":\"Analysis of computational resource utilization\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Implement these algorithms to address linear problems in data science.\"}],\"text\":\"Implementation of randomized algorithms for linear problems\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"title\",\"quote\":\"LINEAR RANDOMIZED ALGORITHMS FOR DATA SCIENCE\"},{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Introduce new algorithms that leverage randomization to address the scale, speed, and sensitivity needs of modern data science.\"}],\"text\":\"STAT 772 introduces randomized algorithms for data science, focusing on mathematical foundations, computational efficiency, and implementation for linear problems.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"randomization to address the scale, speed, and sensitivity needs of modern data science\"}],\"text\":\"Randomization in data science\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"mathematical foundations of such randomized algorithms\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"address linear problems in data science\"}],\"text\":\"Linear problems in data science\"}]}","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"2283aebe8d8b8a2ccdc845696321db808eeefd39adb2bbddb097dad33151665e","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2ce6273b8a10f92ece4ed4efcd11a459e05e01d980b5ed26401b505cd045c779","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Consent of instructor\",\"course\":null,\"evidence\":\"Consent of instructor\",\"id\":\"n0\",\"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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2ce6273b8a10f92ece4ed4efcd11a459e05e01d980b5ed26401b505cd045c779","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"randomized algorithms data science\",\"linear algebra randomization\",\"computational complexity randomized methods\",\"STAT 772 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Develop the mathematical foundations of such randomized algorithms.\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Criticize these algorithms through the lens of computational resource utilization.\"}],\"text\":\"Analysis of computational resource utilization\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Implement these algorithms to address linear problems in data science.\"}],\"text\":\"Implementation of randomized algorithms for linear problems\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"title\",\"quote\":\"LINEAR RANDOMIZED ALGORITHMS FOR DATA SCIENCE\"},{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Introduce new algorithms that leverage randomization to address the scale, speed, and sensitivity needs of modern data science.\"}],\"text\":\"STAT 772 introduces randomized algorithms for data science, focusing on mathematical foundations, computational efficiency, and implementation for linear problems.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"randomization to address the scale, speed, and sensitivity needs of modern data science\"}],\"text\":\"Randomization in data science\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"mathematical foundations of such randomized algorithms\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"address linear problems in data science\"}],\"text\":\"Linear problems in data science\"}]}","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"2ce6273b8a10f92ece4ed4efcd11a459e05e01d980b5ed26401b505cd045c779","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"50d8ef7ff3c245a1c84acc78de226949e2ab11e893c6af7b8343896a2dd28cef","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Consent of instructor\",\"course\":null,\"evidence\":\"Consent of instructor\",\"id\":\"n0\",\"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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"50d8ef7ff3c245a1c84acc78de226949e2ab11e893c6af7b8343896a2dd28cef","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"randomized algorithms data science\",\"linear algebra randomization\",\"computational complexity randomized methods\",\"STAT 772 prerequisites\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Develop the mathematical foundations of such randomized algorithms.\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Criticize these algorithms through the lens of computational resource utilization.\"}],\"text\":\"Analysis of computational resource utilization\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Implement these algorithms to address linear problems in data science.\"}],\"text\":\"Implementation of randomized algorithms for linear problems\"}],\"summary\":{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"title\",\"quote\":\"LINEAR RANDOMIZED ALGORITHMS FOR DATA SCIENCE\"},{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"Introduce new algorithms that leverage randomization to address the scale, speed, and sensitivity needs of modern data science.\"}],\"text\":\"STAT 772 introduces randomized algorithms for data science, focusing on mathematical foundations, computational efficiency, and implementation for linear problems.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"randomization to address the scale, speed, and sensitivity needs of modern data science\"}],\"text\":\"Randomization in data science\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"mathematical foundations of such randomized algorithms\"}],\"text\":\"Mathematical foundations of randomized algorithms\"},{\"evidence\":[{\"course_id\":\"STAT 772\",\"field\":\"description\",\"quote\":\"address linear problems in data science\"}],\"text\":\"Linear problems in data science\"}]}","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"50d8ef7ff3c245a1c84acc78de226949e2ab11e893c6af7b8343896a2dd28cef","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_69ee62f597c97a8f5f9770b2","course_id":"STAT 772","catalog_version_id":"2a411d92a26d9bf31743bdec344773accc64f853c4edaff3092262a3a6ae7b85","record_version_id":"71448ecccae64dce5ae81e5a001789297c0be837b5844bfba65a78d59dd5ace7","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"50d8ef7ff3c245a1c84acc78de226949e2ab11e893c6af7b8343896a2dd28cef","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"1afeabe145f95ef0993e344f40f0431b62dfd7e0139072f322e4f2453f9aa2ef\",\"course_id\":\"STAT 772\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"STAT 772\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"b9874ec9-9a3e-386e-beca-0926ae4cb89d\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1234\",\"type\":\"grade\"},{\"course_id\":\"STAT 772\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"b9874ec9-9a3e-386e-beca-0926ae4cb89d\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2023: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=6 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true}]