{"id":"W4226430654","doi":"10.1093/ehjci/jeac082","title":"Relationship between ischaemia, coronary artery calcium scores, and major adverse cardiovascular events","year":2022,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Mace; Medicine; Cardiology; Internal medicine; Hazard ratio; Myocardial infarction; Interquartile range; Myocardial perfusion imaging; Coronary artery calcium; Perfusion; Unstable angina; Coronary artery disease; Percutaneous coronary intervention; Confidence interval","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","sts"],"consensus_categories":[],"category_scores_codex":[0.00543303,0.0004021142,0.001042615,0.0004578991,0.001346768,0.0001001715,0.0002101138,0.00003660248,0.0000560826],"category_scores_gemma":[0.0007087155,0.0004271223,0.003098997,0.0004084431,0.000151781,0.0003400367,0.0005291238,0.001828327,0.0001225661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292349,"about_ca_system_score_gemma":0.0001986756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004762368,"about_ca_topic_score_gemma":1.464864e-7,"domain_scores_codex":[0.9942111,0.002043972,0.0006794859,0.0006639336,0.001706035,0.0006954994],"domain_scores_gemma":[0.9975758,0.000347479,0.0001241851,0.001120867,0.0001935798,0.000638155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005058595,0.00004408815,0.9749328,0.00006972082,0.002513579,0.008174257,0.0003075912,0.001306055,0.00003591632,0.000006336056,0.006616382,0.00594266],"study_design_scores_gemma":[0.003027128,0.0000681883,0.8031827,0.000131768,0.003134576,0.04854682,0.000421033,0.00003609839,0.00001739888,0.00004458046,0.1410175,0.0003722499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792057,0.1060945,0.006766321,0.001424815,0.001764104,0.0007553123,0.00007892455,0.0002442276,0.003666054],"genre_scores_gemma":[0.9953761,0.0001410595,0.00117863,0.0007989556,0.001986922,0.00001527679,0.00007887047,0.0001726207,0.0002516286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717502,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199683344038343,"score_gpt":0.2770318945049665,"score_spread":0.235035061064583,"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."}}