{"id":"W3026531908","doi":"","title":"Comparison of student evaluation of teaching results when stratified by protocol, course content, and course structure","year":2015,"lang":"en","type":"article","venue":"International journal of engineering education","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Set (abstract data type); Course (navigation); Course evaluation; Significant difference; Content delivery; Data set; Computer science; Mathematics education; Psychology; Medical education; Statistics; Engineering; Medicine; Mathematics; Artificial intelligence; Higher education; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005663516,0.00008223911,0.0001761699,0.0001336939,0.00004260618,0.00007148812,0.0003039777,0.000060543,0.00002188391],"category_scores_gemma":[0.003337,0.00007912493,0.00003506482,0.0000482772,0.0000520812,0.0006433389,0.00002014683,0.0002428695,3.181994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002426455,"about_ca_system_score_gemma":0.001350058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003490333,"about_ca_topic_score_gemma":0.00007239235,"domain_scores_codex":[0.9968922,0.0003806519,0.0007069293,0.00009454496,0.001848321,0.00007741803],"domain_scores_gemma":[0.9953628,0.0002413122,0.001393238,0.00008588793,0.002821407,0.00009531518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001343335,0.00738261,0.2616622,0.0002068512,0.001874567,0.000001936252,0.3264836,0.08881323,0.05174186,0.0415205,0.07552469,0.1434446],"study_design_scores_gemma":[0.02282921,0.002478541,0.5720707,0.00349385,0.002017024,0.00007778759,0.2246481,0.0489614,0.02051133,0.0091044,0.09247468,0.001332939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881783,0.000293043,0.0008242875,0.004461532,0.001908272,0.003279916,0.00002191567,0.00001161987,0.001021113],"genre_scores_gemma":[0.9955547,0.000003179821,0.003906533,0.00001342642,0.00031687,0.0001124483,0.00001368341,0.000007312671,0.00007180312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3104085,"threshold_uncertainty_score":0.3994942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2237924303881172,"score_gpt":0.5486883596094423,"score_spread":0.3248959292213252,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}