{"id":"W1608061284","doi":"10.1096/fasebj.28.1_supplement.535.4","title":"CANmeds physician competencies inadvertently realized in the gross anatomy lab (535.4)","year":2014,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Gross anatomy; Session (web analytics); Nature versus nurture; Class (philosophy); Gratitude; Medical education; Learning environment; Psychology; Mathematics education; Medicine; Computer science; Anatomy; Artificial intelligence","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":[0.003409921,0.0002592796,0.0002102556,0.000807092,0.002004188,0.001477461,0.0006813441,0.001206446,0.121828],"category_scores_gemma":[0.009590252,0.0002675147,0.0002481806,0.0004404981,0.0008406346,0.0007740474,0.002480573,0.001757502,0.02253924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649601,"about_ca_system_score_gemma":0.006724827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209104,"about_ca_topic_score_gemma":0.01571523,"domain_scores_codex":[0.996051,0.0007106865,0.0001598989,0.000275384,0.002069902,0.0007331888],"domain_scores_gemma":[0.9890789,0.001059552,0.0008513948,0.0005488715,0.002537344,0.005923823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00100978,0.001480344,0.1056168,0.0007117392,0.00003151844,0.01277461,0.008564458,0.0007015388,0.02282784,0.01152972,0.4217754,0.4129762],"study_design_scores_gemma":[0.00007787517,0.001754238,0.1662737,0.0005420445,0.00002084033,0.02494638,0.007219015,0.001103031,0.01171195,0.002437428,0.7838454,0.00006801235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5343974,0.00145629,0.005125004,0.03320554,0.006506168,0.0006316936,0.001341147,0.001326921,0.4160099],"genre_scores_gemma":[0.6909162,0.0006078047,0.007237007,0.01105323,0.0005964373,0.0002021435,0.0007356993,0.0002274271,0.288424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.121828,"threshold_uncertainty_score":0.4075552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152866219871806,"score_gpt":0.302662793189398,"score_spread":0.2873761712022174,"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."}}