{"id":"W2595427528","doi":"10.1016/s0735-1097(17)35903-x","title":"ECHO MILESTONES: A NOVEL SIMULATION-BASED ECHOCARDIOGRAPHY COMPETENCE TOOL FOR FORMATIVE ASSESSMENT IN CARDIOLOGY TRAINING","year":2017,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Formative assessment; Competence (human resources); Medical physics; Cardiology; Echo (communications protocol); Internal medicine; Management","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":[0.003399943,0.0008739899,0.0004793973,0.002322149,0.0002962425,0.002054114,0.001050895,0.001061672,0.007842246],"category_scores_gemma":[0.02526186,0.0003813824,0.0005312025,0.000597127,0.0002718828,0.002089464,0.00240846,0.0008881307,0.00197844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004344942,"about_ca_system_score_gemma":0.001048093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026458,"about_ca_topic_score_gemma":0.002387801,"domain_scores_codex":[0.9981493,0.0008750047,0.0002266009,0.0001841383,0.0004558775,0.0001091756],"domain_scores_gemma":[0.9879962,0.008360169,0.00103054,0.0003246163,0.001136088,0.001152416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003150534,0.003328065,0.1738753,0.0009695931,0.0002360214,0.0006810506,0.002518788,0.007779801,0.01485645,0.003176647,0.03092741,0.7585004],"study_design_scores_gemma":[0.0027717,0.007490576,0.5310442,0.002590326,0.001058741,0.006880586,0.00504848,0.3072651,0.04540505,0.0152105,0.07396325,0.001271413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6762899,0.001136433,0.2735571,0.003055147,0.0006263008,0.003329855,0.00605902,0.01213914,0.02380714],"genre_scores_gemma":[0.7051724,0.0007119339,0.2840315,0.0006706759,0.0001696174,0.002449569,0.00210937,0.000444964,0.00423997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007842246,"threshold_uncertainty_score":0.02623492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098434688780365,"score_gpt":0.4395450171731419,"score_spread":0.3297015482951054,"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."}}