{"id":"W4389944832","doi":"10.1161/circ.148.suppl_1.17494","title":"Abstract 17494: The Incremental Risk Prediction of Cardiac CTA-Derived Quantitative Atherosclerosis in the International Advance Registry","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Providence Health Care","funders":"","keywords":"Medicine; Mace; Cardiology; Revascularization; Internal medicine; Myocardial infarction; Stenosis; Fractional flow reserve; Vulnerable plaque; Percutaneous coronary intervention; Coronary angiography","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":[0.004887532,0.0005119472,0.0005373788,0.001513825,0.0002290717,0.001336343,0.0006971918,0.0005353527,0.0017566],"category_scores_gemma":[0.01085977,0.0003184076,0.0006472798,0.001404291,0.0002707044,0.0008021955,0.0008689132,0.001017289,0.0005530308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136436,"about_ca_system_score_gemma":0.000317556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299773,"about_ca_topic_score_gemma":0.001369535,"domain_scores_codex":[0.9983276,0.0006556232,0.0001085215,0.0003968651,0.0003653496,0.0001460355],"domain_scores_gemma":[0.9918821,0.002154362,0.003146443,0.001430842,0.0008456139,0.0005405827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005399735,0.00003565498,0.9947687,0.00001458419,0.00013772,0.00005201744,0.00002083244,0.0003155825,0.0002163346,0.0000983754,0.0005688533,0.003231318],"study_design_scores_gemma":[0.0000710249,0.0001931454,0.9938098,0.00001528815,0.0002577938,0.0005002834,0.00004694836,0.003654977,0.0003546139,0.0003180033,0.0007613908,0.00001677332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931505,0.000330844,0.001231893,0.0002048455,0.00002762833,0.00003701334,0.003509036,0.00005583514,0.001452424],"genre_scores_gemma":[0.9953653,0.00009308469,0.00117864,0.00005040129,0.00007125095,0.0000377196,0.002977261,0.00001580382,0.0002106545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004887532,"threshold_uncertainty_score":0.02584809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567732542227775,"score_gpt":0.2984083253233454,"score_spread":0.2627309999010677,"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."}}