{"id":"W4385076805","doi":"10.1016/j.jelectrocard.2023.07.007","title":"Comparative evaluation of an electrocardiogram workflow model for athletic cardiovascular screening: Primary care network versus sports cardiology interpretation","year":2023,"lang":"en","type":"article","venue":"Journal of Electrocardiology","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"Southeastern Ontario Academic Medical Organization","keywords":"Medicine; Athletes; Internal medicine; Cardiology; Electrocardiography; Primary care; Physical therapy; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006746968,0.0004388923,0.003556299,0.0007475172,0.0001275154,0.00001761169,0.0003095903,0.000445074,0.000002128265],"category_scores_gemma":[0.0005226231,0.0004115203,0.004120722,0.0009690169,0.0001855222,0.0002326166,0.00006796433,0.0006439245,0.000002579272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605081,"about_ca_system_score_gemma":0.001188249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004524192,"about_ca_topic_score_gemma":0.00000481317,"domain_scores_codex":[0.9946143,0.001229612,0.0011174,0.0005834017,0.00158206,0.0008732394],"domain_scores_gemma":[0.994618,0.000493545,0.0006393162,0.0008774404,0.003115441,0.0002562312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01153188,0.00003584112,0.0009548489,0.0001891155,0.01118955,0.0001325893,0.000524707,0.8886021,0.002346298,0.00003033304,0.0006291108,0.08383356],"study_design_scores_gemma":[0.04343051,0.01993593,0.08676784,0.001077343,0.0586917,0.005990494,0.001286692,0.7723516,0.003878908,0.003001928,0.002131696,0.001455402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.772338,0.03101433,0.1920388,0.00004839126,0.001085525,0.002405447,0.00001135279,0.0001013235,0.0009568132],"genre_scores_gemma":[0.9869739,0.0009171158,0.009843091,0.00005185591,0.001608475,0.0001384748,0.0003789561,0.00008005837,0.000008016142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2146359,"threshold_uncertainty_score":0.9998336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620881734418469,"score_gpt":0.3334885595899025,"score_spread":0.2872797422457178,"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."}}