{"id":"W2598227209","doi":"10.1016/j.jcct.2017.03.004","title":"Prognostic value of visually detected coronary artery calcification on unenhanced non-gated thoracic computed tomography for prediction of non-fatal myocardial infarction and all-cause mortality","year":2017,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Canada Research Chairs; University of Toronto","funders":"","keywords":"Medicine; Myocardial infarction; Cardiology; Coronary arteries; Internal medicine; Calcification; Coronary artery disease; Radiology; Agatston score; Retrospective cohort study; Artery; Coronary artery calcium","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001176144,0.0003827595,0.001418096,0.001078495,0.0002145069,0.00007839778,0.0002451493,0.0002624418,8.015834e-7],"category_scores_gemma":[0.0003863059,0.000361136,0.002469849,0.0005680554,0.0003892284,0.0003083339,0.00007562307,0.0004396256,4.015056e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005038502,"about_ca_system_score_gemma":0.0001764396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003489487,"about_ca_topic_score_gemma":0.000001065858,"domain_scores_codex":[0.9966916,0.0002317521,0.001190517,0.0004405252,0.0011098,0.0003357805],"domain_scores_gemma":[0.9952264,0.0003449555,0.001260289,0.001003867,0.001886308,0.000278217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005304345,0.00183813,0.7869437,0.00190685,0.1003503,0.0003597892,0.0006246686,0.01847285,0.0301963,0.00003691566,0.0006015123,0.05336466],"study_design_scores_gemma":[0.006345417,0.002146565,0.9521573,0.001129346,0.009381372,0.000511469,0.00004507627,0.01626953,0.01156679,0.00005181194,0.0001448238,0.0002505155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.878912,0.001577222,0.1166656,0.00005278616,0.001192223,0.00131622,0.0001797084,0.00005227116,0.00005194959],"genre_scores_gemma":[0.9948925,0.0003114013,0.00396911,0.0000280199,0.0005349259,0.00002249121,0.0001904518,0.00005028184,8.368652e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1652136,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338286083489591,"score_gpt":0.2999403427521665,"score_spread":0.2765574819172705,"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."}}