[{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fb3b23243a62dedd3e38d7d2d2d519f7820894604144f934cf870814646cbfcb","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"r1a\",\"r1b\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"r1a\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"r1b\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"root\",\"status\":\"parsed\"}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fb3b23243a62dedd3e38d7d2d2d519f7820894604144f934cf870814646cbfcb","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"label\":\"programming\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"business statistics python\",\"statistics for business\",\"python data visualization\",\"probability inference regression\",\"data-driven business analysis\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Calculating descriptive statistics and generating basic visualizations using Python.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Explain and apply principles and rules of probability.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Explaining and applying principles and rules of probability.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":2,\"quote\":\"Utilize inferential statistics and communicate the uncertainty in statistical estimates.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Utilizing inferential statistics and communicating uncertainty in statistical estimates.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":3,\"quote\":\"Perform regression analysis, and distinguish between correlation and causation.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Performing regression analysis and distinguishing between correlation and causation.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"title\",\"quote\":\"BUSINESS STATISTICS USING PYTHON\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"},{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include probability, estimation, inference, correlation, and regression.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Business Statistics Using Python is a compact primer covering probability, estimation, inference, correlation, and regression for data-driven business analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A selection of concepts include probability, estimation, inference, correlation, and regression.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Probability, estimation, inference, correlation, and regression.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Descriptive statistics and basic visualizations using Python.\"}]}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fb3b23243a62dedd3e38d7d2d2d519f7820894604144f934cf870814646cbfcb","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fb3b23243a62dedd3e38d7d2d2d519f7820894604144f934cf870814646cbfcb","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"ae46240e696ed47744987a1e64984ad006b20f3a7f32574bc3a0f181e9d72b4b\",\"course_id\":\"GENBUS 881\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"3f5110430805ccdd533c0c072df62d68a8a5f5441c4530bbdb15d419a199a09c\",\"quick_take\":[{\"citations\":[{\"course_id\":\"GENBUS 881\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 881\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 881\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2025: 3.82 GPA, 88.1% A/AB (n=42 letter grades); Fall 2025: 3.92 GPA, 95.0% A/AB (n=40 letter grades); Spring 2026: 3.79 GPA, 95.2% A/AB (n=21 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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"e51471b56e554ec2452108ac2893f88990ec90277c6731057e59cfd33cbf160d","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"e51471b56e554ec2452108ac2893f88990ec90277c6731057e59cfd33cbf160d","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"business statistics python\",\"probability estimation inference\",\"correlation regression analysis\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"Data-driven business analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"concepts include probability, estimation, inference, correlation, and regression\"}],\"text\":\"Statistical concepts: probability, estimation, inference, correlation, and regression\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"title\",\"quote\":\"BUSINESS STATISTICS USING PYTHON\"},{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"A statistics primer for business analysis covering probability, estimation, inference, correlation, and regression using Python.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"probability, estimation, inference, correlation, and regression\"}],\"text\":\"Probability, estimation, inference, correlation, and regression\"}]}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"e51471b56e554ec2452108ac2893f88990ec90277c6731057e59cfd33cbf160d","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"c9d6d832b989ebd4b11b1864510fed4f1a4848a8e3ac60554b47ac74ef6f366a","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"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":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"c9d6d832b989ebd4b11b1864510fed4f1a4848a8e3ac60554b47ac74ef6f366a","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"business statistics python\",\"probability estimation inference\",\"correlation regression analysis\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"Data-driven business analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"concepts include probability, estimation, inference, correlation, and regression\"}],\"text\":\"Statistical concepts: probability, estimation, inference, correlation, and regression\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"title\",\"quote\":\"BUSINESS STATISTICS USING PYTHON\"},{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"A statistics primer for business analysis covering probability, estimation, inference, correlation, and regression using Python.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"probability, estimation, inference, correlation, and regression\"}],\"text\":\"Probability, estimation, inference, correlation, and regression\"}]}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"c9d6d832b989ebd4b11b1864510fed4f1a4848a8e3ac60554b47ac74ef6f366a","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-6556a505c10f448d98d02466","output_id":"3bbc0443e3152af51604f5ae4ef12a595cead1010e106ca437d2e4d50aea644d","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"r1a\",\"r1b\"],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"r1a\",\"kind\":\"condition\"},{\"children\":[],\"condition\":\"declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"declared in graduate Business Exchange program\",\"id\":\"r1b\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"root\",\"status\":\"parsed\"}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-6556a505c10f448d98d02466","output_id":"3bbc0443e3152af51604f5ae4ef12a595cead1010e106ca437d2e4d50aea644d","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"label\":\"programming\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"business statistics python\",\"statistics for business\",\"python data visualization\",\"probability inference regression\",\"data-driven business analysis\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Calculating descriptive statistics and generating basic visualizations using Python.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Explain and apply principles and rules of probability.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Explaining and applying principles and rules of probability.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":2,\"quote\":\"Utilize inferential statistics and communicate the uncertainty in statistical estimates.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Utilizing inferential statistics and communicating uncertainty in statistical estimates.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":3,\"quote\":\"Perform regression analysis, and distinguish between correlation and causation.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Performing regression analysis and distinguishing between correlation and causation.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"title\",\"quote\":\"BUSINESS STATISTICS USING PYTHON\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"},{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis. A selection of concepts include probability, estimation, inference, correlation, and regression.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Business Statistics Using Python is a compact primer covering probability, estimation, inference, correlation, and regression for data-driven business analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A selection of concepts include probability, estimation, inference, correlation, and regression.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Probability, estimation, inference, correlation, and regression.\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Calculate descriptive statistics and generate basic visualizations using Python.\",\"source_url\":\"https://guide.wisc.edu/courses/gen_bus/\"}],\"text\":\"Descriptive statistics and basic visualizations using Python.\"}]}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"3e47d120a06fe70a35f3910468b3f382ea9563b1ece04a66fce8da593c26f629","record_version_id":"7b0e0852b516dc7d83f7a0f44303e4251eedbcb5ecff73e608d20cf317999e33","job_id":"enrich-6556a505c10f448d98d02466","output_id":"3bbc0443e3152af51604f5ae4ef12a595cead1010e106ca437d2e4d50aea644d","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"0d6788b86bc510629f6bcd9dbfdfee4faa7830a737c437ce668f3815b86378e4","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"course\":null,\"evidence\":\"Graduate/professional standing or declared in graduate Business Exchange program\",\"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":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"0d6788b86bc510629f6bcd9dbfdfee4faa7830a737c437ce668f3815b86378e4","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"business statistics python\",\"probability estimation inference\",\"correlation regression analysis\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"Data-driven business analysis\"},{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"concepts include probability, estimation, inference, correlation, and regression\"}],\"text\":\"Statistical concepts: probability, estimation, inference, correlation, and regression\"}],\"summary\":{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"title\",\"quote\":\"BUSINESS STATISTICS USING PYTHON\"},{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"A compact primer in statistics as a foundation for data-driven business analysis\"}],\"text\":\"A statistics primer for business analysis covering probability, estimation, inference, correlation, and regression using Python.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"GENBUS 881\",\"field\":\"description\",\"quote\":\"probability, estimation, inference, correlation, and regression\"}],\"text\":\"Probability, estimation, inference, correlation, and regression\"}]}","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"0d6788b86bc510629f6bcd9dbfdfee4faa7830a737c437ce668f3815b86378e4","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_49f49c69936bd20b3d9b122c","course_id":"GENBUS 881","catalog_version_id":"9672a9150021668b6dc34f1337d2253186ed03e96a34af54d0b4d4be469039c2","record_version_id":"3de5e311b09a63f7207d96868b66620960695d3e878fdbaaad0908c0b8cd8d73","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"0d6788b86bc510629f6bcd9dbfdfee4faa7830a737c437ce668f3815b86378e4","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"0b9f616d0798ee347d479679e5a0dd4fe3b420e3e5130a2734843773972ce5b1\",\"course_id\":\"GENBUS 881\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"GENBUS 881\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 881\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"},{\"course_id\":\"GENBUS 881\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"5209af29-9489-3621-be48-fa9b7be3c3ed\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2025: 3.82 GPA, 88.1% A/AB (n=42 letter grades); Fall 2025: 3.92 GPA, 95.0% A/AB (n=40 letter grades); Spring 2026: 3.79 GPA, 95.2% A/AB (n=21 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}]