{"id":"W2115647137","doi":"10.2106/jbjs.m.00314","title":"Three-Year Experience with an Innovative, Modular Competency-Based Curriculum for Orthopaedic Training","year":2013,"lang":"en","type":"article","venue":"Journal of Bone and Joint Surgery","topic":"Innovations in Medical Education","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University; University of Toronto","funders":"","keywords":"Modular design; Curriculum; Training (meteorology); Medical education; Engineering management; Psychology; Engineering; Mathematics education; Computer science; Medicine; Pedagogy; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001116038,0.0001115447,0.0005198172,0.0004861853,0.00008823761,0.00002712494,0.00001920924,0.00005799177,0.0001121352],"category_scores_gemma":[0.0009643589,0.00007624325,0.00008768198,0.0005617285,0.0001421199,0.0003324316,0.000006341756,0.0002531973,0.000001457812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003382465,"about_ca_system_score_gemma":0.000705859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001751068,"about_ca_topic_score_gemma":0.000002330731,"domain_scores_codex":[0.9984907,0.00002136764,0.000803129,0.0001267175,0.0003653243,0.0001927678],"domain_scores_gemma":[0.9977525,0.0000932734,0.0005462443,0.0001346456,0.001357121,0.0001161804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007815722,0.001985408,0.7347865,0.0009280556,0.0002738521,0.0002118914,0.006737639,0.00004816689,0.01866842,0.002487613,0.02438856,0.2087024],"study_design_scores_gemma":[0.005655829,0.003510753,0.9350951,0.003540794,0.0001836495,0.00166427,0.01958495,0.01836321,0.001989707,0.002416942,0.007341651,0.0006531731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739619,0.00009087848,0.02202506,0.003366051,0.0002673665,0.0002241201,8.948033e-7,0.00001176711,0.00005193818],"genre_scores_gemma":[0.9305518,0.00001170639,0.06779453,0.001216872,0.0003530885,0.00003173564,0.00001343651,0.00001574161,0.00001103891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080492,"threshold_uncertainty_score":0.3109109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455319825306502,"score_gpt":0.2875012883961027,"score_spread":0.2529480901430377,"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."}}