{"id":"W4390405878","doi":"10.1002/mus.28022","title":"Training factors that influence electrodiagnostic medicine knowledge","year":2023,"lang":"en","type":"article","venue":"Muscle & Nerve","topic":"Innovations in Medical Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Medicine; Physical therapy; Bayesian multivariate linear regression; Physical examination; Multivariate analysis; Logistic regression; Linear regression; Multivariate statistics; Training (meteorology); Internal medicine; Statistics","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":[0.0005822486,0.0001670659,0.0002834403,0.0004086965,0.0001439722,0.00001214308,0.0001470613,0.0001172991,0.0004424505],"category_scores_gemma":[0.004562309,0.0001345505,0.00005301333,0.00187282,0.0001556872,0.0001112635,0.00003762543,0.0003859318,0.0003402169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441684,"about_ca_system_score_gemma":0.0002076457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051698,"about_ca_topic_score_gemma":0.00001586021,"domain_scores_codex":[0.9985144,0.00004346253,0.0003175595,0.0002987499,0.0003904886,0.0004353881],"domain_scores_gemma":[0.9988807,0.0003535979,0.00008438584,0.0003570907,0.0002031496,0.0001210413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005219685,0.0004638897,0.1406987,0.00059784,0.0001736845,0.0001873789,0.07050104,0.00004458479,0.03840083,0.007248732,0.1628575,0.5787736],"study_design_scores_gemma":[0.0007949032,0.0002715305,0.9291829,0.0003816161,0.0000766621,0.00001836845,0.005098609,0.0006057963,0.001139476,0.0005107339,0.06174117,0.0001782061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860955,0.0001600496,0.00008854902,0.005151158,0.0007658815,0.0002793708,0.000001949508,0.0003639112,0.007093648],"genre_scores_gemma":[0.9967096,0.00004239907,0.0001545784,0.0009959828,0.0004254063,0.00006111349,0.000188218,0.00003451647,0.001388217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884842,"threshold_uncertainty_score":0.5486811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408889352535714,"score_gpt":0.3641451342509409,"score_spread":0.2900562407255837,"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."}}