{"id":"W2045078715","doi":"10.1097/00001888-200001000-00017","title":"Student Performances on Step 1 and Step 2 of the United States Medical Licensing Examination Following Implementation of a Problem-based Learning Curriculum","year":2000,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"United States Medical Licensing Examination; Curriculum; Matriculation; Medical education; Medical school; Curriculum-based measurement; Mathematics education; Compromise; Medicine; Psychology; Curriculum mapping; Curriculum development; Pedagogy; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001469474,0.0003582277,0.0002942129,0.000695357,0.0003472228,0.0006333861,0.0004829993,0.0005604818,0.002317805],"category_scores_gemma":[0.009617529,0.0001354822,0.0002983226,0.0003561543,0.0002497868,0.0005481638,0.0009976602,0.0008431974,0.0007821382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008507165,"about_ca_system_score_gemma":0.0009035591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005120745,"about_ca_topic_score_gemma":0.008165067,"domain_scores_codex":[0.9993047,0.0001170187,0.00005885795,0.00008044843,0.0002730729,0.0001659629],"domain_scores_gemma":[0.9953855,0.0007981272,0.001515573,0.0001509493,0.001078165,0.001071802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005468508,0.001200181,0.9762301,0.00002877796,0.00005499338,0.0001099373,0.0005231348,0.0003180392,0.001107773,0.00001988623,0.0005349939,0.01932523],"study_design_scores_gemma":[0.00001238819,0.001242111,0.9968231,0.000005550464,0.00001134489,0.00005977798,0.0002146462,0.0002364745,0.001060027,0.00001321777,0.000313823,0.000007591963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995162,0.00002725129,0.00003351505,0.00002020335,0.000004895177,0.00001108813,0.00003881279,0.000003562972,0.0003444082],"genre_scores_gemma":[0.9983182,0.00003225517,0.0000841833,0.00001847601,0.000005666956,0.00001609783,0.0002410975,0.00000239995,0.001281627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005120745,"threshold_uncertainty_score":0.0101819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696031779351309,"score_gpt":0.3620456040010364,"score_spread":0.3450852862075233,"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."}}