[{"run_id":"20261014T203208-0851c9a1","observed_at":"2026-10-14 17:50:09.728220+00:00","course_uid":"course_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"0b7c9133f129a4bd35ea140138103c65a68c1320e5a70a93a73f461f93eb352d","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\":\"root-req\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"root-req\",\"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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"0b7c9133f129a4bd35ea140138103c65a68c1320e5a70a93a73f461f93eb352d","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Apply marketing mix models, multivariate statistics, experimental analyses and machine learning tools to a variety of marketing problems\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions. A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"marketing metrics\",\"digital analytics\",\"marketing response models\",\"segmentation\",\"product design\",\"experimentation\",\"big data\",\"marketing analytics careers\",\"product management consulting\",\"multivariate statistics marketing\",\"machine learning marketing\",\"brand recommendations\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Apply online, and offline behavior-based metrics to make effective marketing decisions\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Applying online and offline behavior-based metrics to marketing decisions\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Apply marketing mix models, multivariate statistics, experimental analyses and machine learning tools to a variety of marketing problems\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Using marketing mix models, multivariate statistics, experimental analyses, and machine learning tools\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":4,\"quote\":\"Utilize data in compiling brand recommendations.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Compiling brand recommendations using data\"}],\"summary\":{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"title\",\"quote\":\"MARKETING ANALYTICS\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions. A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data. Applicable to careers in marketing analytics, product management and consulting.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Marketing Analytics studies how analytics impacts marketing decisions, covering metrics, digital analytics, response models, segmentation, product design, experimentation, and big data for careers in marketing, product management, and.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation, and Big Data\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Applicable to careers in marketing analytics, product management and consulting.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Careers in marketing analytics, product management, and consulting\"}]}","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"0b7c9133f129a4bd35ea140138103c65a68c1320e5a70a93a73f461f93eb352d","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-49752a259f17fab0f49665b3","output_id":"0b7c9133f129a4bd35ea140138103c65a68c1320e5a70a93a73f461f93eb352d","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"3d74354be8b3e1ac3b02f2ef270f5bb777e332af24117da61aff36780b72ce59\",\"course_id\":\"MARKETNG 815\",\"current_instructors\":[{\"instructor_uid\":\"instructor_488c1ebe0a516c9ed60467e6\",\"message\":\"No course-specific reviews available\",\"name\":\"Neeraj Arora\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2024: 3.45 GPA, 62.6% A/AB (n=91 letter grades); Spring 2025: 3.33 GPA, 54.5% A/AB (n=33 letter grades); Spring 2026: 3.40 GPA, 70.0% A/AB (n=50 letter grades). Includes jointly taught sections.\"}]}],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"3f5110430805ccdd533c0c072df62d68a8a5f5441c4530bbdb15d419a199a09c\",\"quick_take\":[{\"citations\":[{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2024: 3.45 GPA, 62.6% A/AB (n=91 letter grades); Spring 2025: 3.38 GPA, 58.1% A/AB (n=43 letter grades); Spring 2026: 3.40 GPA, 70.0% A/AB (n=50 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"9dea82ef7f2113a5605c1c6030c4f9b19967eb742cc93a78268fb92357d29f5c\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1084\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1094\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1104\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1114\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1124\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1144\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1154\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1164\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1184\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1194\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1204\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1224\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1224\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1234\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1234\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":1,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20261014T203208-0851c9a1\",\"section_number\":2,\"source_course_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"NEERAJ ARORA is recorded teaching in Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.\"}],\"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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"f7798146e7934897211d303cbb47cea319db74c4fc7946d88f8e4ff7a3f28491","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"f7798146e7934897211d303cbb47cea319db74c4fc7946d88f8e4ff7a3f28491","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"marketing analytics graduate course\",\"digital analytics segmentation\",\"marketing metrics experimentation\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"Applying analytics to marketing decisions\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data\"}],\"text\":\"Mastering marketing metrics and digital analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Applicable to careers in marketing analytics, product management and consulting\"}],\"text\":\"Preparing for careers in marketing analytics and product management\"}],\"summary\":{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"title\",\"quote\":\"MARKETING ANALYTICS\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"MARKETING ANALYTICS covers the impact of analytics on marketing decisions, including metrics, digital analytics, and segmentation.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Metrics\"}],\"text\":\"Marketing Metrics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Digital Analytics\"}],\"text\":\"Digital Analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Response Models\"}],\"text\":\"Marketing Response Models\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Segmentation\"}],\"text\":\"Segmentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Product Design\"}],\"text\":\"Product Design\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Experimentation\"}],\"text\":\"Experimentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Big Data\"}],\"text\":\"Big Data\"}]}","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"f7798146e7934897211d303cbb47cea319db74c4fc7946d88f8e4ff7a3f28491","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"84b5d2a31e8b113ab496c9c4e6826c664f7d7f3cc47b9fd355c895c0f29d30b9","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"84b5d2a31e8b113ab496c9c4e6826c664f7d7f3cc47b9fd355c895c0f29d30b9","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"marketing analytics graduate course\",\"digital analytics segmentation\",\"marketing metrics experimentation\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"Applying analytics to marketing decisions\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data\"}],\"text\":\"Mastering marketing metrics and digital analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Applicable to careers in marketing analytics, product management and consulting\"}],\"text\":\"Preparing for careers in marketing analytics and product management\"}],\"summary\":{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"title\",\"quote\":\"MARKETING ANALYTICS\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"MARKETING ANALYTICS covers the impact of analytics on marketing decisions, including metrics, digital analytics, and segmentation.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Metrics\"}],\"text\":\"Marketing Metrics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Digital Analytics\"}],\"text\":\"Digital Analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Response Models\"}],\"text\":\"Marketing Response Models\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Segmentation\"}],\"text\":\"Segmentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Product Design\"}],\"text\":\"Product Design\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Experimentation\"}],\"text\":\"Experimentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Big Data\"}],\"text\":\"Big Data\"}]}","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"84b5d2a31e8b113ab496c9c4e6826c664f7d7f3cc47b9fd355c895c0f29d30b9","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-6556a505c10f448d98d02466","output_id":"4aaa62e85d4f7c94722cbd72c755ecf5de58a38ae3b8240e6e9cd74808d52158","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\":\"root-req\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"root-req\",\"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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-6556a505c10f448d98d02466","output_id":"4aaa62e85d4f7c94722cbd72c755ecf5de58a38ae3b8240e6e9cd74808d52158","section":"search_profile","status":"valid","value_json":"{\"activity_tags\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Apply marketing mix models, multivariate statistics, experimental analyses and machine learning tools to a variety of marketing problems\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions. A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"label\":\"data-analysis\"}],\"assumed_background\":[],\"search_phrases\":[\"marketing metrics\",\"digital analytics\",\"marketing response models\",\"segmentation\",\"product design\",\"experimentation\",\"big data\",\"marketing analytics careers\",\"product management consulting\",\"multivariate statistics marketing\",\"machine learning marketing\",\"brand recommendations\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":0,\"quote\":\"Apply online, and offline behavior-based metrics to make effective marketing decisions\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Applying online and offline behavior-based metrics to marketing decisions\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":1,\"quote\":\"Apply marketing mix models, multivariate statistics, experimental analyses and machine learning tools to a variety of marketing problems\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Using marketing mix models, multivariate statistics, experimental analyses, and machine learning tools\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"official_learning_outcomes\",\"outcome_index\":4,\"quote\":\"Utilize data in compiling brand recommendations.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Compiling brand recommendations using data\"}],\"summary\":{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"title\",\"quote\":\"MARKETING ANALYTICS\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions. A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data. Applicable to careers in marketing analytics, product management and consulting.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Marketing Analytics studies how analytics impacts marketing decisions, covering metrics, digital analytics, response models, segmentation, product design, experimentation, and big data for careers in marketing, product management, and.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation, and Big Data\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Applicable to careers in marketing analytics, product management and consulting.\",\"source_url\":\"https://guide.wisc.edu/courses/marketng/\"}],\"text\":\"Careers in marketing analytics, product management, and consulting\"}]}","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"eeb5232c282959a623c8e203c1a963009ee62f086c35e63ff5ba935e3610454c","record_version_id":"4c88461b94afb5dce4a0f3d8827f71775773f175237dec4585482d9df6354ca3","job_id":"enrich-6556a505c10f448d98d02466","output_id":"4aaa62e85d4f7c94722cbd72c755ecf5de58a38ae3b8240e6e9cd74808d52158","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"a68368bed84cf2881861bd44e3292a48c8d59ef6fb400f477f9d766716150f25","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"a68368bed84cf2881861bd44e3292a48c8d59ef6fb400f477f9d766716150f25","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"marketing analytics graduate course\",\"digital analytics segmentation\",\"marketing metrics experimentation\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"Applying analytics to marketing decisions\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"A spectrum of topics include Marketing Metrics, Digital Analytics, Marketing Response Models, Segmentation, Product Design, Experimentation and Big Data\"}],\"text\":\"Mastering marketing metrics and digital analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Applicable to careers in marketing analytics, product management and consulting\"}],\"text\":\"Preparing for careers in marketing analytics and product management\"}],\"summary\":{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"title\",\"quote\":\"MARKETING ANALYTICS\"},{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Study of the impact of analytics on successful marketing decisions\"}],\"text\":\"MARKETING ANALYTICS covers the impact of analytics on marketing decisions, including metrics, digital analytics, and segmentation.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Metrics\"}],\"text\":\"Marketing Metrics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Digital Analytics\"}],\"text\":\"Digital Analytics\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Marketing Response Models\"}],\"text\":\"Marketing Response Models\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Segmentation\"}],\"text\":\"Segmentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Product Design\"}],\"text\":\"Product Design\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Experimentation\"}],\"text\":\"Experimentation\"},{\"evidence\":[{\"course_id\":\"MARKETNG 815\",\"field\":\"description\",\"quote\":\"Big Data\"}],\"text\":\"Big Data\"}]}","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"a68368bed84cf2881861bd44e3292a48c8d59ef6fb400f477f9d766716150f25","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_c250647266ab882424f3ce0d","course_id":"MARKETNG 815","catalog_version_id":"1f377817c77a34d78e0a8dc4aa59767b9980e5c0e66c4202f18ac2092594e757","record_version_id":"aec0c88b28bb560ce62461fa2e1c76622974c9376005ba7ad5026d97ce58caf6","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"a68368bed84cf2881861bd44e3292a48c8d59ef6fb400f477f9d766716150f25","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"f3a8a2e5f5e4db8e314eca622888930f840524c8dc716ed29bfdd996343f6802\",\"course_id\":\"MARKETNG 815\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"MARKETNG 815\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"dc5d983b-d135-3e2f-a83f-29fdcdf11648\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2024: 3.45 GPA, 62.6% A/AB (n=91 letter grades); Spring 2025: 3.38 GPA, 58.1% A/AB (n=43 letter grades); Spring 2026: 3.40 GPA, 70.0% A/AB (n=50 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}]