{"id":"W1634504077","doi":"10.1136/emermed-2012-201737","title":"Assessing clinical reasoning using a script concordance test with electrocardiogram in an emergency medicine clerkship rotation","year":2013,"lang":"en","type":"article","venue":"Emergency Medicine Journal","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Concordance; Cronbach's alpha; Medicine; Test (biology); Context (archaeology); Reliability (semiconductor); Emergency department; Inter-rater reliability; Post-hoc analysis; Psychology; Internal medicine; Clinical psychology; Psychometrics; Psychiatry","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01275632,0.0004571656,0.0006564726,0.001637084,0.0004170794,0.00112597,0.0005280169,0.0005069502,0.001382021],"category_scores_gemma":[0.05358822,0.0002366982,0.0006696408,0.001258259,0.0004826891,0.0006810634,0.001097649,0.0005460748,0.0004532505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004586582,"about_ca_system_score_gemma":0.001021984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007497551,"about_ca_topic_score_gemma":0.001113877,"domain_scores_codex":[0.987576,0.006151793,0.00169948,0.0007453643,0.003446125,0.0003811491],"domain_scores_gemma":[0.9533448,0.0223369,0.01192551,0.001435532,0.008890057,0.002067177],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001439619,0.001298934,0.9143771,0.0002646299,0.0002589259,0.0004078276,0.0032603,0.001877371,0.004039808,0.0001840779,0.001050808,0.07154071],"study_design_scores_gemma":[0.000116727,0.003908348,0.9770318,0.000109288,0.0000795041,0.0008164055,0.001678253,0.01067528,0.004356287,0.0002535025,0.0009127347,0.00006187883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945683,0.00007231712,0.003541517,0.00004973901,0.00004530382,0.0002741851,0.0001149314,0.00004572891,0.001287991],"genre_scores_gemma":[0.9900377,0.00007879346,0.009042972,0.00003646374,0.00002858068,0.0002474606,0.0002206633,0.000005989744,0.0003014692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9872437,"threshold_uncertainty_score":0.06746268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101908454456941,"score_gpt":0.4534151813483506,"score_spread":0.3432243359026565,"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."}}