{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03334752,0.0003630655,0.0006352694,0.001945951,0.0004151964,0.0009744462,0.0004488897,0.0002932968,0.002129031],"category_scores_gemma":[0.0811627,0.0001886161,0.0006287082,0.00146525,0.000550124,0.000598545,0.001178585,0.0003669409,0.0006161806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000844706,"about_ca_system_score_gemma":0.0007352238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005149986,"about_ca_topic_score_gemma":0.001374147,"domain_scores_codex":[0.9649861,0.01714594,0.003541133,0.001609819,0.0115707,0.001146296],"domain_scores_gemma":[0.882929,0.07561737,0.01442426,0.01051614,0.01453772,0.001975525],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006249698,0.001692036,0.7823467,0.0002780347,0.0006082109,0.00009252398,0.00551868,0.0008014339,0.01088355,0.0002949117,0.0009128115,0.1903215],"study_design_scores_gemma":[0.00006935206,0.007501311,0.9791988,0.00003619765,0.0001156563,0.00009630426,0.001562,0.00148645,0.008426722,0.0002255614,0.001249565,0.00003211432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953022,0.00008339615,0.002842664,0.00002272264,0.00001921731,0.0002695184,0.0001439259,0.00005972333,0.001256579],"genre_scores_gemma":[0.9956738,0.00005551957,0.002678801,0.00003523873,0.00002047102,0.0003746765,0.0003300212,0.00002972032,0.0008017255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9666525,"threshold_uncertainty_score":0.1763606,"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."}}