[{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fbf3c942788388074637de8289de47ae655802508a66ba01a7aae8b9c63fe349","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"r1\",\"r2\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"r1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"r2\",\"kind\":\"condition\"}],\"notes\":[\"Missing space between course code and 'or' in source text; interpreted as alternative requirement.\"],\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fbf3c942788388074637de8289de47ae655802508a66ba01a7aae8b9c63fe349","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Write, debug, and optimize algorithms for solving problems in geoscience.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"label\":\"programming\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Focus on gaining practical skills applicable to geoscience datasets such as analytical model implementation, time series analysis, and geospatial data visualization.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"Python programming geoscience\",\"geospatial data visualization\",\"time series analysis earth science\",\"numerical computing Earth systems\",\"machine learning geoscience datasets\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"utilizing Python as the primary programming language\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Scientific programming with Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Numerical computing and machine learning basics\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming using Python, focusing on geoscience applications like time series analysis and geospatial visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Analytical modeling, time series, and geospatial visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fbf3c942788388074637de8289de47ae655802508a66ba01a7aae8b9c63fe349","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"fbf3c942788388074637de8289de47ae655802508a66ba01a7aae8b9c63fe349","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"e1a1caf74b5b09a6b0dea2c431a658f776ea1e02db665d1e9286fc032b3e67d1\",\"course_id\":\"ATMOCN/GEOSCI 353\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"3f5110430805ccdd533c0c072df62d68a8a5f5441c4530bbdb15d419a199a09c\",\"quick_take\":[],\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"5ac99c3cca05a1724e3bab99235482655b1522e63e2090657a871caf976f634d","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n0\",\"n1\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Node n0 references itself; remove the self-reference.\nCycle reaches node n0; requirement graphs must be trees.\nUnreachable nodes: n2; connect all conditions and exclusions to the root.","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"5ac99c3cca05a1724e3bab99235482655b1522e63e2090657a871caf976f634d","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"MATH 222\",\"field\":\"description\",\"quote\":\"Techniques of integration, improper integrals, first order ordinary differential equations, sequences and series, Taylor series, vector geometry in two and three dimensions.\"}],\"text\":\"Calculus and analytic geometry\"}],\"search_phrases\":[\"geoscience programming python\",\"numerical computing earth sciences\",\"machine learning geoscience\",\"geospatial data visualization python\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Scientific programming in Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization.\"}],\"text\":\"Analytical model implementation and time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning.\"}],\"text\":\"Numerical computing and machine learning\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming in Python for geoscience applications, covering numerical computing, machine learning, and data visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geoscience applications\"}],\"text\":\"Geoscience applications\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"time series analysis\"}],\"text\":\"Time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"numerical computing and machine learning\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"5ac99c3cca05a1724e3bab99235482655b1522e63e2090657a871caf976f634d","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"dea9667f789383ddf4433f05fb002b0f4a6a1e11c1fb5e196c4f2f6d82d552d9","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"dea9667f789383ddf4433f05fb002b0f4a6a1e11c1fb5e196c4f2f6d82d552d9","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"MATH 222\",\"field\":\"description\",\"quote\":\"Techniques of integration, improper integrals, first order ordinary differential equations, sequences and series, Taylor series, vector geometry in two and three dimensions.\"}],\"text\":\"Calculus and analytic geometry\"}],\"search_phrases\":[\"geoscience programming python\",\"numerical computing earth sciences\",\"machine learning geoscience\",\"geospatial data visualization python\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Scientific programming in Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization.\"}],\"text\":\"Analytical model implementation and time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning.\"}],\"text\":\"Numerical computing and machine learning\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming in Python for geoscience applications, covering numerical computing, machine learning, and data visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geoscience applications\"}],\"text\":\"Geoscience applications\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"time series analysis\"}],\"text\":\"Time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"numerical computing and machine learning\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"dea9667f789383ddf4433f05fb002b0f4a6a1e11c1fb5e196c4f2f6d82d552d9","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-6556a505c10f448d98d02466","output_id":"abc375237adc5db9f1f474366127534653b4ce5beba4ef66d3d9a4a59b7a66bf","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"r1\",\"r2\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"root\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"r1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"r2\",\"kind\":\"condition\"}],\"notes\":[\"Missing space between course code and 'or' in source text; interpreted as alternative requirement.\"],\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-6556a505c10f448d98d02466","output_id":"abc375237adc5db9f1f474366127534653b4ce5beba4ef66d3d9a4a59b7a66bf","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Write, debug, and optimize algorithms for solving problems in geoscience.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"label\":\"programming\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Focus on gaining practical skills applicable to geoscience datasets such as analytical model implementation, time series analysis, and geospatial data visualization.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"Python programming geoscience\",\"geospatial data visualization\",\"time series analysis earth science\",\"numerical computing Earth systems\",\"machine learning geoscience datasets\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"utilizing Python as the primary programming language\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Scientific programming with Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Numerical computing and machine learning basics\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming using Python, focusing on geoscience applications like time series analysis and geospatial visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Analytical modeling, time series, and geospatial visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"824fd7453bb3196a31e6823938542556b26c2b2b423b28498af2faebb28e83bc","record_version_id":"ee998394a2d55b3f97be1af7740f8c5ea7db96dbf58f240f697efee42a14f6a8","job_id":"enrich-6556a505c10f448d98d02466","output_id":"abc375237adc5db9f1f474366127534653b4ce5beba4ef66d3d9a4a59b7a66bf","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":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-789789da373eecc1ff75f626","output_id":"b7255d7b839399083b3228371fb33ff5c4849df8f2c63ad32953c4d32a05f6a6","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-789789da373eecc1ff75f626","output_id":"b7255d7b839399083b3228371fb33ff5c4849df8f2c63ad32953c4d32a05f6a6","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"MATH 222\",\"field\":\"description\",\"quote\":\"Techniques of integration, improper integrals, first order ordinary differential equations, sequences and series, Taylor series, vector geometry in two and three dimensions.\"}],\"text\":\"Calculus and analytic geometry\"}],\"search_phrases\":[\"geoscience programming python\",\"numerical computing earth sciences\",\"machine learning geoscience\",\"geospatial data visualization python\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Scientific programming in Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization.\"}],\"text\":\"Analytical model implementation and time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning.\"}],\"text\":\"Numerical computing and machine learning\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming in Python for geoscience applications, covering numerical computing, machine learning, and data visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geoscience applications\"}],\"text\":\"Geoscience applications\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"time series analysis\"}],\"text\":\"Time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"numerical computing and machine learning\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-789789da373eecc1ff75f626","output_id":"b7255d7b839399083b3228371fb33ff5c4849df8f2c63ad32953c4d32a05f6a6","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"002f6fb7d8b9635843fb07c4dc390015d2d8cfee4b0d2b13ab2ef4ec90db2813","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\"],\"condition\":null,\"course\":null,\"evidence\":\"MATH 222or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":222,\"minimum_grade\":null,\"subjects\":[\"MATH\"],\"timing\":\"prior\"},\"evidence\":\"MATH 222\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n2\",\"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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"002f6fb7d8b9635843fb07c4dc390015d2d8cfee4b0d2b13ab2ef4ec90db2813","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"MATH 222\",\"field\":\"description\",\"quote\":\"Techniques of integration, improper integrals, first order ordinary differential equations, sequences and series, Taylor series, vector geometry in two and three dimensions.\"}],\"text\":\"Calculus and analytic geometry\"}],\"search_phrases\":[\"geoscience programming python\",\"numerical computing earth sciences\",\"machine learning geoscience\",\"geospatial data visualization python\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Scientific programming in Python\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"analytical model implementation, time series analysis, and geospatial data visualization.\"}],\"text\":\"Analytical model implementation and time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"elementary topics in numerical computing and machine learning.\"}],\"text\":\"Numerical computing and machine learning\"}],\"summary\":{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"title\",\"quote\":\"PROGRAMMING FOR EARTH SCIENTISTS\"},{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"Introduction to scientific programming with a focus on geoscience applications, utilizing Python as the primary programming language.\"}],\"text\":\"Programming for Earth Scientists introduces scientific programming in Python for geoscience applications, covering numerical computing, machine learning, and data visualization.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geoscience applications\"}],\"text\":\"Geoscience applications\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"time series analysis\"}],\"text\":\"Time series analysis\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"geospatial data visualization\"}],\"text\":\"Geospatial data visualization\"},{\"evidence\":[{\"course_id\":\"ATMOCN/GEOSCI 353\",\"field\":\"description\",\"quote\":\"numerical computing and machine learning\"}],\"text\":\"Numerical computing and machine learning\"}]}","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"002f6fb7d8b9635843fb07c4dc390015d2d8cfee4b0d2b13ab2ef4ec90db2813","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_62e24e3815f7c34ae632f724","course_id":"ATMOCN/GEOSCI 353","catalog_version_id":"b70e0f885711a6536f59325795d56f55b5607804b02e8fea704d8a8fcc8e8f9e","record_version_id":"3985f520fef441a2144f5bdaaa1fb8c905ba6ab09a2b52238711c9e6ba761855","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"002f6fb7d8b9635843fb07c4dc390015d2d8cfee4b0d2b13ab2ef4ec90db2813","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"6c748e118f76852d520eb0bda4166df7f849ccb8b9cbe9d0f121805065c925af\",\"course_id\":\"ATMOCN/GEOSCI 353\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90\",\"quick_take\":[],\"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}]