{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149889,0.0001491041,0.0001310021,0.0003266123,0.0002046427,0.0004119959,0.0002135387,0.0002374423,0.005585008],"category_scores_gemma":[0.00731309,0.00009921969,0.0001717642,0.0002470432,0.0003038881,0.0002299196,0.0003340021,0.0002552621,0.0003565141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423561,"about_ca_system_score_gemma":0.0006700091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713075,"about_ca_topic_score_gemma":0.003383811,"domain_scores_codex":[0.9992931,0.0002490438,0.00006396474,0.00008614213,0.0001678345,0.0001398289],"domain_scores_gemma":[0.9925391,0.003262276,0.002662148,0.0001597232,0.0005237498,0.0008528559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003829023,0.0001245609,0.9931921,0.00001926627,0.00001836394,0.00003032235,0.0001014698,0.00007969189,0.0002161003,0.00001715976,0.0001493381,0.006013344],"study_design_scores_gemma":[0.00000114856,0.00006563935,0.9994567,0.00001486082,0.000005857338,0.00004537206,0.00008094061,0.0001347445,0.00006363574,0.00001000572,0.0001200981,0.000001076361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998291,0.0001730702,0.000174478,0.0001417486,0.000006611094,0.000009015034,0.00004241105,0.000004736303,0.001156842],"genre_scores_gemma":[0.999546,0.00005016239,0.0001253797,0.00001879689,0.000005874869,0.000005448777,0.00003701294,9.523326e-7,0.00021042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005585008,"threshold_uncertainty_score":0.01868373,"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."}}