{"id":"W2391809296","doi":"","title":"Medical school curricula: do curricular approaches affect competence in medicine?","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Innovations in Medical Education","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Curriculum; Competence (human resources); Path analysis (statistics); Aptitude; Medical education; Psychology; Latent variable; Structural equation modeling; Medicine; United States Medical Licensing Examination; Medical school; Mathematics education; Pedagogy; Developmental psychology; Computer science; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.003882899,0.0003159916,0.0003136362,0.0009214275,0.0005559045,0.001964788,0.0007058915,0.001017765,0.004939265],"category_scores_gemma":[0.03262116,0.0002629052,0.0005480672,0.00121362,0.00127446,0.001321543,0.001851343,0.001330211,0.0003734732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734149,"about_ca_system_score_gemma":0.003372111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008416086,"about_ca_topic_score_gemma":0.01004725,"domain_scores_codex":[0.9967739,0.001732893,0.0001289503,0.0003580655,0.0006322555,0.0003739816],"domain_scores_gemma":[0.9697861,0.01474217,0.009626897,0.0007447579,0.001241039,0.003859065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007570932,0.0004972107,0.9813488,0.0000471376,0.0001134646,0.00002648927,0.001223266,0.0002784376,0.0001779504,0.0005527558,0.0003418845,0.01531689],"study_design_scores_gemma":[0.000007018555,0.0000759016,0.9982657,0.00004101107,0.00001974745,0.00001451463,0.0006596764,0.0003528312,0.00007151987,0.0002614335,0.0002265368,0.000004196298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972116,0.000311577,0.0001804319,0.001108166,0.000008304458,0.00001621389,0.00007834408,0.000005362911,0.001079978],"genre_scores_gemma":[0.9991967,0.0001660479,0.0002315067,0.0001141429,0.000007611261,0.00001434816,0.00007632213,0.000003284451,0.0001901217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008416086,"threshold_uncertainty_score":0.02053499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03911231064663199,"score_gpt":0.3054035809093166,"score_spread":0.2662912702626846,"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."}}