[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"0e77422432a0d1ba8850052ff0b9766376f75cd462d1cd37b795e842d4faa48f","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"BSE 380,COMP SCI 220,300, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":380,\"minimum_grade\":null,\"subjects\":[\"BSE\"],\"timing\":\"prior\"},\"evidence\":\"BSE 380\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":220,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"COMP SCI 220\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":300,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"COMP SCI 300\",\"id\":\"n3\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Node n3: evidence 'COMP SCI 300' must quote an exact source substring.","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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"0e77422432a0d1ba8850052ff0b9766376f75cd462d1cd37b795e842d4faa48f","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"description\",\"quote\":\"The fundamentals of computer coding using numerical software will be taught\"},{\"course_id\":\"COMPSCI 220\",\"field\":\"description\",\"quote\":\"Introduction to Data Science programming using Python\"},{\"course_id\":\"COMPSCI 300\",\"field\":\"description\",\"quote\":\"Introduction to Object-Oriented Programming using classes and objects\"}],\"text\":\"Programming proficiency in Python and object-oriented design, plus data science fundamentals.\"},{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"requirements_text\",\"quote\":\"(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)\"}],\"text\":\"Foundational chemistry and mathematics.\"}],\"search_phrases\":[\"AI agriculture\",\"machine learning crops\",\"agricultural data science\",\"BSE 405 artificial intelligence\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making\"}],\"text\":\"Data acquisition, processing, visualization, and machine learning for agriculture.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector\"},{\"course_id\":\"BSE 405\",\"field\":\"title\",\"quote\":\"ARTIFICIAL INTELLIGENCE IN AGRICULTURE\"}],\"text\":\"BSE 405 teaches AI technologies for agricultural optimization, covering sensors, data processing, and machine learning.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models\"}],\"text\":\"Sensors, data processing, visualization, and machine learning models.\"}]}","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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"0e77422432a0d1ba8850052ff0b9766376f75cd462d1cd37b795e842d4faa48f","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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"aba1525695fbd43048125b98952ed23bf40cba5a2f41f638018136380a73c99e","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"BSE 380,COMP SCI 220,300, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":380,\"minimum_grade\":null,\"subjects\":[\"BSE\"],\"timing\":\"prior\"},\"evidence\":\"BSE 380\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":220,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"COMP SCI 220\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":300,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"300\",\"id\":\"n3\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"aba1525695fbd43048125b98952ed23bf40cba5a2f41f638018136380a73c99e","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"description\",\"quote\":\"The fundamentals of computer coding using numerical software will be taught\"},{\"course_id\":\"COMPSCI 220\",\"field\":\"description\",\"quote\":\"Introduction to Data Science programming using Python\"},{\"course_id\":\"COMPSCI 300\",\"field\":\"description\",\"quote\":\"Introduction to Object-Oriented Programming using classes and objects\"}],\"text\":\"Programming proficiency in Python and object-oriented design, plus data science fundamentals.\"},{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"requirements_text\",\"quote\":\"(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)\"}],\"text\":\"Foundational chemistry and mathematics.\"}],\"search_phrases\":[\"AI agriculture\",\"machine learning crops\",\"agricultural data science\",\"BSE 405 artificial intelligence\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making\"}],\"text\":\"Data acquisition, processing, visualization, and machine learning for agriculture.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector\"},{\"course_id\":\"BSE 405\",\"field\":\"title\",\"quote\":\"ARTIFICIAL INTELLIGENCE IN AGRICULTURE\"}],\"text\":\"BSE 405 teaches AI technologies for agricultural optimization, covering sensors, data processing, and machine learning.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models\"}],\"text\":\"Sensors, data processing, visualization, and machine learning models.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"aba1525695fbd43048125b98952ed23bf40cba5a2f41f638018136380a73c99e","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-789789da373eecc1ff75f626","output_id":"63c83f2c5c8aa988acc78cc0184f77202b396d748d2095e87a15618b384ed29a","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"BSE 380,COMP SCI 220,300, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":380,\"minimum_grade\":null,\"subjects\":[\"BSE\"],\"timing\":\"prior\"},\"evidence\":\"BSE 380\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":220,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"COMP SCI 220\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":300,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"300\",\"id\":\"n3\",\"kind\":\"course\"}],\"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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-789789da373eecc1ff75f626","output_id":"63c83f2c5c8aa988acc78cc0184f77202b396d748d2095e87a15618b384ed29a","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"description\",\"quote\":\"The fundamentals of computer coding using numerical software will be taught\"},{\"course_id\":\"COMPSCI 220\",\"field\":\"description\",\"quote\":\"Introduction to Data Science programming using Python\"},{\"course_id\":\"COMPSCI 300\",\"field\":\"description\",\"quote\":\"Introduction to Object-Oriented Programming using classes and objects\"}],\"text\":\"Programming proficiency in Python and object-oriented design, plus data science fundamentals.\"},{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"requirements_text\",\"quote\":\"(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)\"}],\"text\":\"Foundational chemistry and mathematics.\"}],\"search_phrases\":[\"AI agriculture\",\"machine learning crops\",\"agricultural data science\",\"BSE 405 artificial intelligence\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making\"}],\"text\":\"Data acquisition, processing, visualization, and machine learning for agriculture.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector\"},{\"course_id\":\"BSE 405\",\"field\":\"title\",\"quote\":\"ARTIFICIAL INTELLIGENCE IN AGRICULTURE\"}],\"text\":\"BSE 405 teaches AI technologies for agricultural optimization, covering sensors, data processing, and machine learning.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models\"}],\"text\":\"Sensors, data processing, visualization, and machine learning models.\"}]}","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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-789789da373eecc1ff75f626","output_id":"63c83f2c5c8aa988acc78cc0184f77202b396d748d2095e87a15618b384ed29a","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_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"06bc2f0448ec1166b884839966ab0b54f414fab48ead0f03b09cf032f59f9143","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"BSE 380,COMP SCI 220,300, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":380,\"minimum_grade\":null,\"subjects\":[\"BSE\"],\"timing\":\"prior\"},\"evidence\":\"BSE 380\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":220,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"COMP SCI 220\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":300,\"minimum_grade\":null,\"subjects\":[\"COMPSCI\"],\"timing\":\"prior\"},\"evidence\":\"300\",\"id\":\"n3\",\"kind\":\"course\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"06bc2f0448ec1166b884839966ab0b54f414fab48ead0f03b09cf032f59f9143","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"description\",\"quote\":\"The fundamentals of computer coding using numerical software will be taught\"},{\"course_id\":\"COMPSCI 220\",\"field\":\"description\",\"quote\":\"Introduction to Data Science programming using Python\"},{\"course_id\":\"COMPSCI 300\",\"field\":\"description\",\"quote\":\"Introduction to Object-Oriented Programming using classes and objects\"}],\"text\":\"Programming proficiency in Python and object-oriented design, plus data science fundamentals.\"},{\"evidence\":[{\"course_id\":\"BSE 380\",\"field\":\"requirements_text\",\"quote\":\"(CHEM 103,109, or115) and (MATH 112,114, 217 or placement intoMATH 211or221)\"}],\"text\":\"Foundational chemistry and mathematics.\"}],\"search_phrases\":[\"AI agriculture\",\"machine learning crops\",\"agricultural data science\",\"BSE 405 artificial intelligence\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models to inform agricultural decision making\"}],\"text\":\"Data acquisition, processing, visualization, and machine learning for agriculture.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"Provides an understanding of how cutting-edge Artificial Intelligence (AI) technologies revolutionize and optimize various aspects of the agricultural sector\"},{\"course_id\":\"BSE 405\",\"field\":\"title\",\"quote\":\"ARTIFICIAL INTELLIGENCE IN AGRICULTURE\"}],\"text\":\"BSE 405 teaches AI technologies for agricultural optimization, covering sensors, data processing, and machine learning.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BSE 405\",\"field\":\"description\",\"quote\":\"advanced sensors for data acquisition, data processing and visualization, and machine learning models\"}],\"text\":\"Sensors, data processing, visualization, and machine learning models.\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"06bc2f0448ec1166b884839966ab0b54f414fab48ead0f03b09cf032f59f9143","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_8a92316192bfc8e9be89f373","course_id":"BSE 405","catalog_version_id":"94dce3c0c00618b05d54db4fd30bd5b0f8874054de904ddd728e270f48f3b185","record_version_id":"7a9195de09ce1637492d42eb56651308cc0dcaeee931e7c142e6aca583103b57","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"06bc2f0448ec1166b884839966ab0b54f414fab48ead0f03b09cf032f59f9143","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"0ef973967264239cd4c0ec332e2fb91c36421f265eb4e8d6aa9b0c7ce8f1326d\",\"course_id\":\"BSE 405\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"BSE 405\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"b4643902-2cc9-3754-a133-88ebaf94aa8c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1244\",\"type\":\"grade\"},{\"course_id\":\"BSE 405\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"b4643902-2cc9-3754-a133-88ebaf94aa8c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1254\",\"type\":\"grade\"},{\"course_id\":\"BSE 405\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"b4643902-2cc9-3754-a133-88ebaf94aa8c\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1264\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Spring 2024: 3.54 GPA, 85.7% A/AB (n=14 letter grades); Spring 2025: 3.71 GPA, 90.5% A/AB (n=21 letter grades); Spring 2026: 3.74 GPA, 100.0% A/AB (n=35 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true}]