{"id":"W2315716539","doi":"10.1016/j.cjca.2011.07.460","title":"556 How competent are cardiology residents in interpreting ECGS? A controlled trial using an analytic framework","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Medical physics; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02439165,0.002041617,0.005274769,0.0006756639,0.002074267,0.002060762,0.001620934,0.004784021,0.007117155],"category_scores_gemma":[0.06060278,0.001646956,0.005072179,0.000959586,0.002956025,0.003121517,0.001138213,0.004664571,0.0008519255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002171808,"about_ca_system_score_gemma":0.003036121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248479,"about_ca_topic_score_gemma":0.004755293,"domain_scores_codex":[0.9643151,0.02870911,0.002122901,0.00269317,0.001175536,0.000984182],"domain_scores_gemma":[0.9296395,0.05784091,0.005391514,0.002729487,0.002528043,0.001870494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9472616,0.01619465,0.008968291,0.001865792,0.009880953,0.00009681967,0.00127559,0.0006011598,0.0004239008,0.001030252,0.0009203045,0.01148063],"study_design_scores_gemma":[0.803262,0.1563768,0.01352948,0.000502482,0.01757441,0.00004643061,0.001102019,0.004359371,0.0003680852,0.001553348,0.001169294,0.0001563404],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974551,0.003766017,0.004078822,0.0020423,0.001368046,0.0106859,0.0004579269,0.0000630925,0.00298689],"genre_scores_gemma":[0.976442,0.0007463915,0.007308927,0.0009178496,0.0004610117,0.01261278,0.0002506107,0.00001383075,0.001246545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02439165,"threshold_uncertainty_score":0.1289969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1584587109022317,"score_gpt":0.4170117296636434,"score_spread":0.2585530187614117,"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."}}