{"id":"W4295749538","doi":"10.1016/j.jcmg.2022.06.015","title":"Ischemia With Nonobstructive Coronary Arteries","year":2022,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia; Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Université de Montréal","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Advancing Translational Sciences; U.S. Department of Health and Human Services","keywords":"Medicine; Ischemia; Internal medicine; Cardiology; Stenosis; Coronary artery disease; Odds ratio; Stress testing (software); Coronary arteries; Artery; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003827673,0.000242868,0.0005735672,0.0001396726,0.000357412,0.00005456437,0.0001132311,0.00002125837,0.0001445365],"category_scores_gemma":[0.00008257248,0.0002309959,0.0007617556,0.0003179415,0.0001511885,0.0001594062,0.0002259583,0.0004616852,0.00002579304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361507,"about_ca_system_score_gemma":0.0001779046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191693,"about_ca_topic_score_gemma":5.309919e-7,"domain_scores_codex":[0.9980003,0.00009660077,0.0001945866,0.0004877825,0.0008241296,0.0003965977],"domain_scores_gemma":[0.9987417,0.00007935038,0.00005349456,0.0008373332,0.0001394972,0.0001485909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009129114,0.0002586826,0.8196509,0.0002436889,0.006613106,0.01080437,0.002573675,0.005482447,0.002484401,0.0002092418,0.02545006,0.1253165],"study_design_scores_gemma":[0.008407739,0.0002451164,0.486926,0.0001448605,0.004072695,0.02951327,0.01388317,0.000726424,0.005257566,0.0001316294,0.4495513,0.00114024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290642,0.02303231,0.006830791,0.00177371,0.001090867,0.0009486175,0.00008771728,0.0005557684,0.03661602],"genre_scores_gemma":[0.9955419,0.00002999049,0.002661101,0.000904966,0.0003171361,0.0001526215,0.0000919087,0.00007400945,0.0002263871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4241012,"threshold_uncertainty_score":0.941974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005857123508064666,"score_gpt":0.2084249559640648,"score_spread":0.2025678324560002,"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."}}