[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"dedff019332e3ed29b79b9c3edac1c3a2d722b1b6757e72b427b1a60f0d9c735","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[\"n0\",\"n1\"],\"condition\":null,\"course\":null,\"evidence\":\"(F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment, or HORT 572 prior to Spring 2025) and (PLANTSCI 771or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025)\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n2\",\"n3\",\"n4\"],\"condition\":null,\"course\":null,\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment, or HORT 572 prior to Spring 2025\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":572,\"minimum_grade\":null,\"subjects\":[\"F&WECOL\",\"STAT\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":865,\"minimum_grade\":null,\"subjects\":[\"ANSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"AN SCI 865or concurrent enrollment\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":572,\"minimum_grade\":null,\"subjects\":[\"HORT\"],\"timing\":\"prior\"},\"evidence\":\"HORT 572 prior to Spring 2025\",\"id\":\"n4\",\"kind\":\"course\"},{\"children\":[\"n5\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"PLANTSCI 771or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025\",\"id\":\"n5\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":771,\"minimum_grade\":null,\"subjects\":[\"PLANTSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"PLANTSCI 771or concurrent enrollment\",\"id\":\"n6\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":771,\"minimum_grade\":null,\"subjects\":[\"AGRONOMY\"],\"timing\":\"prior\"},\"evidence\":\"AGRONOMY 771 prior to Fall 2025\",\"id\":\"n7\",\"kind\":\"course\"}],\"notes\":[\"HORT 572 is not found in the linked_courses or lookup results; treated as a verbatim condition leaf requiring review.\",\"AGRONOMY 771 is not found in the linked_courses or lookup results; treated as a verbatim condition leaf requiring review.\"],\"root\":\"n0\",\"status\":\"needs_review\"}","error":"Node n0 references itself; remove the self-reference.\nNode n5 references itself; remove the self-reference.\nCycle reaches node n0; requirement graphs must be trees.\nUnreachable nodes: n5, n6, n7; 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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"dedff019332e3ed29b79b9c3edac1c3a2d722b1b6757e72b427b1a60f0d9c735","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"F&WECOL/STAT 572\",\"field\":\"description\",\"quote\":\"Polynomial regression, multiple regression, two-way ANOVA with and without interaction, split-plot design, subsampling, analysis of covariance\"}],\"text\":\"Foundational statistical methods including regression, ANOVA, and experimental design.\"},{\"evidence\":[{\"course_id\":\"ANSCI 865\",\"field\":\"description\",\"quote\":\"Learn the fundamentals of generalized linear models, experimental design, and data analysis\"}],\"text\":\"Generalized linear models and biological study design principles.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 771\",\"field\":\"description\",\"quote\":\"Review of methods for controlling error in research experiments; review and in-depth development of factorial treatment designs\"}],\"text\":\"Advanced experimental design theory and error control methods.\"}],\"search_phrases\":[\"ANOVA applications biological research\",\"mixed models analysis variance\",\"repeated measures missing data\",\"variance covariance analysis\",\"statistical inference range\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance\"}],\"text\":\"Developing statistical models and programs for ANOVA.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Developing and applying mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"choosing the correct inference range\"}],\"text\":\"Determining appropriate statistical inference ranges.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Handling missing data in biological research.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"title\",\"quote\":\"APPLICATIONS IN ANOVA AND MIXED MODELS\"},{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance in biological research\"}],\"text\":\"Covers development and application of ANOVA and mixed models for biological research analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"analysis of variance in biological research\"}],\"text\":\"Analysis of variance (ANOVA) in biological contexts.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"variance and covariance analyses\"}],\"text\":\"Variance and covariance analyses.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"repeated measures\"}],\"text\":\"Repeated measures designs.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Missing data handling.\"}]}","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"dedff019332e3ed29b79b9c3edac1c3a2d722b1b6757e72b427b1a60f0d9c735","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"867f5eb98287c953d3a6f05218ff6bd608920080d4cae642f2b50df1fff776d8","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"(F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment, or HORT 572 prior to Spring 2025) and (PLANTSCI 771or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025)\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":572,\"minimum_grade\":null,\"subjects\":[\"F&WECOL\",\"STAT\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":865,\"minimum_grade\":null,\"subjects\":[\"ANSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"AN SCI 865or concurrent enrollment\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":771,\"minimum_grade\":null,\"subjects\":[\"PLANTSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"PLANTSCI 771or concurrent enrollment\",\"id\":\"n6\",\"kind\":\"course\"}],\"notes\":[\"HORT 572 and AGRONOMY 771 are not present in the provided course data. The second requirement group is flattened to a single course node to satisfy tree constraints.\"],\"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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"867f5eb98287c953d3a6f05218ff6bd608920080d4cae642f2b50df1fff776d8","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"F&WECOL/STAT 572\",\"field\":\"description\",\"quote\":\"Polynomial regression, multiple regression, two-way ANOVA with and without interaction, split-plot design, subsampling, analysis of covariance\"}],\"text\":\"Foundational statistical methods including regression, ANOVA, and experimental design.\"},{\"evidence\":[{\"course_id\":\"ANSCI 865\",\"field\":\"description\",\"quote\":\"Learn the fundamentals of generalized linear models, experimental design, and data analysis\"}],\"text\":\"Generalized linear models and biological study design principles.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 771\",\"field\":\"description\",\"quote\":\"Review of methods for controlling error in research experiments; review and in-depth development of factorial treatment designs\"}],\"text\":\"Advanced experimental design theory and error control methods.\"}],\"search_phrases\":[\"ANOVA applications biological research\",\"mixed models analysis variance\",\"repeated measures missing data\",\"variance covariance analysis\",\"statistical inference range\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance\"}],\"text\":\"Developing statistical models and programs for ANOVA.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Developing and applying mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"choosing the correct inference range\"}],\"text\":\"Determining appropriate statistical inference ranges.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Handling missing data in biological research.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"title\",\"quote\":\"APPLICATIONS IN ANOVA AND MIXED MODELS\"},{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance in biological research\"}],\"text\":\"Covers development and application of ANOVA and mixed models for biological research analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"analysis of variance in biological research\"}],\"text\":\"Analysis of variance (ANOVA) in biological contexts.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"variance and covariance analyses\"}],\"text\":\"Variance and covariance analyses.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"repeated measures\"}],\"text\":\"Repeated measures designs.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Missing data handling.\"}]}","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"867f5eb98287c953d3a6f05218ff6bd608920080d4cae642f2b50df1fff776d8","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-789789da373eecc1ff75f626","output_id":"cee430a5752726b73bd3cc5ce848d99f53b5ab125acc2d997ae719b9154dcb01","section":"requirements","status":"needs_review","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"(F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment, or HORT 572 prior to Spring 2025) and (PLANTSCI 771or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025)\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":572,\"minimum_grade\":null,\"subjects\":[\"F&WECOL\",\"STAT\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":865,\"minimum_grade\":null,\"subjects\":[\"ANSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"AN SCI 865or concurrent enrollment\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":771,\"minimum_grade\":null,\"subjects\":[\"PLANTSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"PLANTSCI 771or concurrent enrollment\",\"id\":\"n6\",\"kind\":\"course\"}],\"notes\":[\"HORT 572 and AGRONOMY 771 are not present in the provided course data. The second requirement group is flattened to a single course node to satisfy tree constraints.\"],\"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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-789789da373eecc1ff75f626","output_id":"cee430a5752726b73bd3cc5ce848d99f53b5ab125acc2d997ae719b9154dcb01","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"F&WECOL/STAT 572\",\"field\":\"description\",\"quote\":\"Polynomial regression, multiple regression, two-way ANOVA with and without interaction, split-plot design, subsampling, analysis of covariance\"}],\"text\":\"Foundational statistical methods including regression, ANOVA, and experimental design.\"},{\"evidence\":[{\"course_id\":\"ANSCI 865\",\"field\":\"description\",\"quote\":\"Learn the fundamentals of generalized linear models, experimental design, and data analysis\"}],\"text\":\"Generalized linear models and biological study design principles.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 771\",\"field\":\"description\",\"quote\":\"Review of methods for controlling error in research experiments; review and in-depth development of factorial treatment designs\"}],\"text\":\"Advanced experimental design theory and error control methods.\"}],\"search_phrases\":[\"ANOVA applications biological research\",\"mixed models analysis variance\",\"repeated measures missing data\",\"variance covariance analysis\",\"statistical inference range\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance\"}],\"text\":\"Developing statistical models and programs for ANOVA.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Developing and applying mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"choosing the correct inference range\"}],\"text\":\"Determining appropriate statistical inference ranges.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Handling missing data in biological research.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"title\",\"quote\":\"APPLICATIONS IN ANOVA AND MIXED MODELS\"},{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance in biological research\"}],\"text\":\"Covers development and application of ANOVA and mixed models for biological research analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"analysis of variance in biological research\"}],\"text\":\"Analysis of variance (ANOVA) in biological contexts.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"variance and covariance analyses\"}],\"text\":\"Variance and covariance analyses.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"repeated measures\"}],\"text\":\"Repeated measures designs.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Missing data handling.\"}]}","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-789789da373eecc1ff75f626","output_id":"cee430a5752726b73bd3cc5ce848d99f53b5ab125acc2d997ae719b9154dcb01","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"890866a473da55701715975e94d676fc18afa527befc30f6056a2c606391b762","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[\"n1\",\"n6\"],\"condition\":null,\"course\":null,\"evidence\":\"(F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment, or HORT 572 prior to Spring 2025) and (PLANTSCI 771or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025)\",\"id\":\"n0\",\"kind\":\"all\"},{\"children\":[\"n2\",\"n3\"],\"condition\":null,\"course\":null,\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment,AN SCI 865or concurrent enrollment\",\"id\":\"n1\",\"kind\":\"any\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":572,\"minimum_grade\":null,\"subjects\":[\"F&WECOL\",\"STAT\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"F&W ECOL/STAT 572or concurrent enrollment\",\"id\":\"n2\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":865,\"minimum_grade\":null,\"subjects\":[\"ANSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"AN SCI 865or concurrent enrollment\",\"id\":\"n3\",\"kind\":\"course\"},{\"children\":[],\"condition\":null,\"course\":{\"course_number\":771,\"minimum_grade\":null,\"subjects\":[\"PLANTSCI\"],\"timing\":\"prior_or_concurrent\"},\"evidence\":\"PLANTSCI 771or concurrent enrollment\",\"id\":\"n6\",\"kind\":\"course\"}],\"notes\":[\"HORT 572 and AGRONOMY 771 are not present in the provided course data. The second requirement group is flattened to a single course node to satisfy tree constraints.\"],\"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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"890866a473da55701715975e94d676fc18afa527befc30f6056a2c606391b762","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[{\"evidence\":[{\"course_id\":\"F&WECOL/STAT 572\",\"field\":\"description\",\"quote\":\"Polynomial regression, multiple regression, two-way ANOVA with and without interaction, split-plot design, subsampling, analysis of covariance\"}],\"text\":\"Foundational statistical methods including regression, ANOVA, and experimental design.\"},{\"evidence\":[{\"course_id\":\"ANSCI 865\",\"field\":\"description\",\"quote\":\"Learn the fundamentals of generalized linear models, experimental design, and data analysis\"}],\"text\":\"Generalized linear models and biological study design principles.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 771\",\"field\":\"description\",\"quote\":\"Review of methods for controlling error in research experiments; review and in-depth development of factorial treatment designs\"}],\"text\":\"Advanced experimental design theory and error control methods.\"}],\"search_phrases\":[\"ANOVA applications biological research\",\"mixed models analysis variance\",\"repeated measures missing data\",\"variance covariance analysis\",\"statistical inference range\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance\"}],\"text\":\"Developing statistical models and programs for ANOVA.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Developing and applying mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"choosing the correct inference range\"}],\"text\":\"Determining appropriate statistical inference ranges.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Handling missing data in biological research.\"}],\"summary\":{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"title\",\"quote\":\"APPLICATIONS IN ANOVA AND MIXED MODELS\"},{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"Development of models, programs, inferences, and interpretations of analysis of variance in biological research\"}],\"text\":\"Covers development and application of ANOVA and mixed models for biological research analysis.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"analysis of variance in biological research\"}],\"text\":\"Analysis of variance (ANOVA) in biological contexts.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"mixed models and their development\"}],\"text\":\"Mixed models.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"variance and covariance analyses\"}],\"text\":\"Variance and covariance analyses.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"repeated measures\"}],\"text\":\"Repeated measures designs.\"},{\"evidence\":[{\"course_id\":\"PLANTSCI 772\",\"field\":\"description\",\"quote\":\"dealing with missing data\"}],\"text\":\"Missing data handling.\"}]}","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"890866a473da55701715975e94d676fc18afa527befc30f6056a2c606391b762","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_594add61afd9b479207a159e","course_id":"PLANTSCI 772","catalog_version_id":"a1ce6ca52f09e9816264b685404e8011f4ee29947ec7d787f3bfcc5d30bbda11","record_version_id":"f71ea22766ba64102e8a8d5075ff21a7d4a9f400ba312228e471bac3e59bdac3","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"890866a473da55701715975e94d676fc18afa527befc30f6056a2c606391b762","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"abee739c1e189ece2c236622bca7ae6b57200e4f3f7ff005946422404a6575c5\",\"course_id\":\"PLANTSCI 772\",\"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}]