{"id":"W1979077874","doi":"10.1097/00001888-200310001-00028","title":"The Effect of Incorporating Normative Data into a Criterion-Referenced Standard Setting in Medical Education","year":2003,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"","keywords":"Normative; Set (abstract data type); Compromise; Psychology; Statistics; Computer science; Medical education; Medicine; Mathematics; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4858942,0.001413267,0.00144078,0.004269406,0.003041266,0.005212571,0.003289524,0.003449884,0.001261529],"category_scores_gemma":[0.8056384,0.001027028,0.00133252,0.003273496,0.006417191,0.00631992,0.006264394,0.00496508,0.0004887671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006233746,"about_ca_system_score_gemma":0.007983492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280044,"about_ca_topic_score_gemma":0.003778255,"domain_scores_codex":[0.3593907,0.5096839,0.03518343,0.01153137,0.08293024,0.001280298],"domain_scores_gemma":[0.1092174,0.7387093,0.03518943,0.04491572,0.06910142,0.002866802],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008297657,0.003093484,0.344422,0.003358442,0.001710274,0.0002207022,0.009568961,0.01494366,0.004262064,0.03703646,0.009969317,0.563117],"study_design_scores_gemma":[0.003533464,0.02474965,0.5603192,0.01742405,0.002855993,0.001956694,0.0106187,0.1381433,0.05323536,0.1423227,0.04326507,0.001575778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6140065,0.008733435,0.3185811,0.01926161,0.002786883,0.003854361,0.000516011,0.001010101,0.03124999],"genre_scores_gemma":[0.8300329,0.0003726841,0.1636618,0.002809919,0.0003297515,0.001882721,0.0002900891,0.0001207518,0.0004993532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858942,"threshold_uncertainty_score":0.633984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325261790187579,"score_gpt":0.4166408784241841,"score_spread":0.3933882605223084,"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."}}