[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"16bf603c4777e04c64777f275cdf7c9eae424903e9472a1aca4f3abb099d377a","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"STAT 609,610,B M I/STAT 641, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":609,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 609\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":610,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"610\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":641,\"minimum_grade\":null,\"subjects\":[\"BMI\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"B M I/STAT 641\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n4\",\"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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"16bf603c4777e04c64777f275cdf7c9eae424903e9472a1aca4f3abb099d377a","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"STAT 609\",\"field\":\"description\",\"quote\":\"Review of probability, random variables and vectors and their distributions, moments and inequalities, generating functions, transformations of random variables, sampling and distribution theory, convergence concepts for sequences of random variables, laws of large numbers, central limit and other limit theorems.\"},{\"course_id\":\"STAT 610\",\"field\":\"description\",\"quote\":\"Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation.\"},{\"course_id\":\"BMI/STAT 641\",\"field\":\"description\",\"quote\":\"Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.\"}],\"text\":\"Probability theory, statistical inference, and basic clinical trial methodology.\"}],\"search_phrases\":[\"clinical trial design statistical methods\",\"adaptive designs clinical trials\",\"survival analysis clinical trials\",\"phase I II III trial design\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding).\"}],\"text\":\"Understanding clinical trial objectives, endpoints, and design considerations like randomization and blinding.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials.\"}],\"text\":\"Designing Phase I, II, and III clinical trials including single-arm, two-arm, and combination studies.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Introduction to adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials.\"}],\"text\":\"Applying adaptive designs and master protocols like umbrella and basket trials.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"title\",\"quote\":\"CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS\"},{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding). Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials. Introduction to adaptive designs\"}],\"text\":\"Covers clinical trial design, implementation, and analysis, including Phase I-III studies and adaptive designs.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"objectives, endpoints, surrogate endpoints, and statistical decisions\"}],\"text\":\"Clinical trial objectives, endpoints, and statistical decisions.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"randomization and blinding\"}],\"text\":\"Randomization and blinding techniques.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"single-arm, two-arm, and drug combination trials\"}],\"text\":\"Single-arm, two-arm, and drug combination trial designs.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials\"}],\"text\":\"Adaptive designs and master protocols (umbrella/basket trials).\"}]}","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"16bf603c4777e04c64777f275cdf7c9eae424903e9472a1aca4f3abb099d377a","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"827ddbea0ce566425a78834a4c06d38f22e373826863f383b668e9eb9bdbc24b","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"STAT 609,610,B M I/STAT 641, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":609,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 609\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":610,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"610\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":641,\"minimum_grade\":null,\"subjects\":[\"BMI\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"B M I/STAT 641\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n4\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"827ddbea0ce566425a78834a4c06d38f22e373826863f383b668e9eb9bdbc24b","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"STAT 609\",\"field\":\"description\",\"quote\":\"Review of probability, random variables and vectors and their distributions, moments and inequalities, generating functions, transformations of random variables, sampling and distribution theory, convergence concepts for sequences of random variables, laws of large numbers, central limit and other limit theorems.\"},{\"course_id\":\"STAT 610\",\"field\":\"description\",\"quote\":\"Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation.\"},{\"course_id\":\"BMI/STAT 641\",\"field\":\"description\",\"quote\":\"Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.\"}],\"text\":\"Probability theory, statistical inference, and basic clinical trial methodology.\"}],\"search_phrases\":[\"clinical trial design statistical methods\",\"adaptive designs clinical trials\",\"survival analysis clinical trials\",\"phase I II III trial design\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding).\"}],\"text\":\"Understanding clinical trial objectives, endpoints, and design considerations like randomization and blinding.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials.\"}],\"text\":\"Designing Phase I, II, and III clinical trials including single-arm, two-arm, and combination studies.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Introduction to adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials.\"}],\"text\":\"Applying adaptive designs and master protocols like umbrella and basket trials.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"title\",\"quote\":\"CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS\"},{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding). Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials. Introduction to adaptive designs\"}],\"text\":\"Covers clinical trial design, implementation, and analysis, including Phase I-III studies and adaptive designs.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"objectives, endpoints, surrogate endpoints, and statistical decisions\"}],\"text\":\"Clinical trial objectives, endpoints, and statistical decisions.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"randomization and blinding\"}],\"text\":\"Randomization and blinding techniques.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"single-arm, two-arm, and drug combination trials\"}],\"text\":\"Single-arm, two-arm, and drug combination trial designs.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials\"}],\"text\":\"Adaptive designs and master protocols (umbrella/basket trials).\"}]}","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"827ddbea0ce566425a78834a4c06d38f22e373826863f383b668e9eb9bdbc24b","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"99094260c5c33f27e6204c7f095d1b1fdad438fcb94f14741cc482239e15a48c","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"STAT 609,610,B M I/STAT 641, or graduate/professional standing\",\"id\":\"n0\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":609,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"STAT 609\",\"id\":\"n1\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":610,\"minimum_grade\":null,\"subjects\":[\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"610\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":641,\"minimum_grade\":null,\"subjects\":[\"BMI\",\"STAT\"],\"timing\":\"prior\"},\"evidence\":\"B M I/STAT 641\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":\"graduate/professional standing\",\"course\":null,\"evidence\":\"graduate/professional standing\",\"id\":\"n4\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"99094260c5c33f27e6204c7f095d1b1fdad438fcb94f14741cc482239e15a48c","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"STAT 609\",\"field\":\"description\",\"quote\":\"Review of probability, random variables and vectors and their distributions, moments and inequalities, generating functions, transformations of random variables, sampling and distribution theory, convergence concepts for sequences of random variables, laws of large numbers, central limit and other limit theorems.\"},{\"course_id\":\"STAT 610\",\"field\":\"description\",\"quote\":\"Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation.\"},{\"course_id\":\"BMI/STAT 641\",\"field\":\"description\",\"quote\":\"Statistical issues in the design of clinical trials, basic survival analysis, data collection and sequential monitoring.\"}],\"text\":\"Probability theory, statistical inference, and basic clinical trial methodology.\"}],\"search_phrases\":[\"clinical trial design statistical methods\",\"adaptive designs clinical trials\",\"survival analysis clinical trials\",\"phase I II III trial design\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding).\"}],\"text\":\"Understanding clinical trial objectives, endpoints, and design considerations like randomization and blinding.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials.\"}],\"text\":\"Designing Phase I, II, and III clinical trials including single-arm, two-arm, and combination studies.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Introduction to adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials.\"}],\"text\":\"Applying adaptive designs and master protocols like umbrella and basket trials.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"title\",\"quote\":\"CLINICAL TRIAL DESIGN, IMPLEMENTATION, AND ANALYSIS\"},{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"Gain an understanding of fundamental elements of clinical trials (such as objectives, endpoints, surrogate endpoints, and statistical decisions) and statistical design considerations (such as randomization and blinding). Designs of clinical trials for Phase I, II, and III studies including single-arm, two-arm, and drug combination trials. Introduction to adaptive designs\"}],\"text\":\"Covers clinical trial design, implementation, and analysis, including Phase I-III studies and adaptive designs.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"objectives, endpoints, surrogate endpoints, and statistical decisions\"}],\"text\":\"Clinical trial objectives, endpoints, and statistical decisions.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"randomization and blinding\"}],\"text\":\"Randomization and blinding techniques.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"single-arm, two-arm, and drug combination trials\"}],\"text\":\"Single-arm, two-arm, and drug combination trial designs.\"},{\"evidence\":[{\"course_id\":\"BMI/STAT 643\",\"field\":\"description\",\"quote\":\"adaptive designs for precision medicine and master protocol designs such as umbrella trials and basket trials\"}],\"text\":\"Adaptive designs and master protocols (umbrella/basket trials).\"}]}","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"99094260c5c33f27e6204c7f095d1b1fdad438fcb94f14741cc482239e15a48c","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_c5d94f1c1684c61fc99a1422","course_id":"BMI/STAT 643","catalog_version_id":"3cdb659b069707c63a181e389b5dfa9d0b30f351f1b087e9b6f5dccff7b1146a","record_version_id":"0a9a3edea2bb7d8a7de12c9d5877f3601b5543c7c2dc4ea398dd5438e93ef1ef","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"99094260c5c33f27e6204c7f095d1b1fdad438fcb94f14741cc482239e15a48c","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"930f078ab1c2afebbb67457cadc5919de66836c1df43ac528c8e1a07694c535b\",\"course_id\":\"BMI/STAT 643\",\"current_instructors\":[],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":false,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"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":true}]