{"id":"W3087695759","doi":"10.1016/j.jcct.2020.09.007","title":"Prognostic value of coronary computed tomography angiography in patients with prior percutaneous coronary intervention","year":2020,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"Institute for Clinical Evaluative Sciences","keywords":"Medicine; Mace; Conventional PCI; Percutaneous coronary intervention; Cardiology; Coronary artery disease; Internal medicine; Myocardial infarction; Proportional hazards model; Radiology","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":[0.000513411,0.0004380904,0.001678136,0.001677715,0.00006303591,0.00004160066,0.0002994514,0.0001647877,0.00001233495],"category_scores_gemma":[0.000112875,0.000377688,0.005720392,0.003004649,0.0002633837,0.000209759,0.0001067105,0.0006655841,0.000002932761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875698,"about_ca_system_score_gemma":0.000127292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002423169,"about_ca_topic_score_gemma":6.322196e-7,"domain_scores_codex":[0.9960671,0.0003710338,0.001197105,0.0004479147,0.001491648,0.0004251792],"domain_scores_gemma":[0.9970236,0.0002378743,0.0005816229,0.0004986972,0.001203935,0.000454241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002087119,0.001235838,0.9640841,0.0004725703,0.01029457,0.001832991,0.0003119694,0.009068185,0.00001875432,0.000009665424,0.0004620427,0.01012221],"study_design_scores_gemma":[0.01120223,0.003884758,0.975867,0.001520527,0.00403653,0.001726962,0.0000986162,0.0006760837,0.00005202734,0.00002327862,0.0005561381,0.0003558848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603444,0.02627514,0.01162045,0.0001389377,0.0004288348,0.0009782637,0.00003991091,0.00006877369,0.0001053202],"genre_scores_gemma":[0.990496,0.00008486556,0.008826911,0.0002261886,0.0002101017,0.000005165242,0.0000836225,0.00006661694,5.658818e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03015159,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006412307900447218,"score_gpt":0.2049923245308515,"score_spread":0.1985800166304043,"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."}}