{"id":"W3041007085","doi":"10.1161/circinterventions.119.008768","title":"Nonculprit Lesion Plaque Morphology in Patients With ST-Segment–Elevation Myocardial Infarction","year":2020,"lang":"en","type":"article","venue":"Circulation Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; The Scarborough Hospital; Hôpital du Sacré-Cœur de Montréal; Western University; Southlake Regional Health Center; St. Paul's Hospital; London Health Sciences Centre; University of Alberta; Population Health Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Percutaneous coronary intervention; Cardiology; Myocardial infarction; Internal medicine; Lesion; Culprit; Conventional PCI; Target lesion; Stenosis; Revascularization; Acute coronary syndrome; Radiology; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0002735778,0.0002100628,0.0004666497,0.000289249,0.0001074779,0.000037795,0.00008448949,0.0001492251,0.0004125461],"category_scores_gemma":[0.0002262437,0.000210563,0.001292709,0.000578423,0.00006010044,0.0002737533,0.00005873348,0.0002768566,0.00009069361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499082,"about_ca_system_score_gemma":0.00006061019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000652818,"about_ca_topic_score_gemma":0.0000170839,"domain_scores_codex":[0.9979734,0.0001692301,0.0006220535,0.0004737287,0.0005233308,0.0002382049],"domain_scores_gemma":[0.9988764,0.00003953517,0.0001356071,0.0004163025,0.0003693748,0.0001627583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003276079,0.0008008085,0.9634627,0.0002959059,0.001330417,0.00004410575,0.0001844336,0.0164637,0.0001219543,0.0004399072,0.0006936889,0.01583474],"study_design_scores_gemma":[0.005765199,0.0006015553,0.9872178,0.0003986827,0.0006772524,0.0000258323,0.00009227863,0.001219123,0.00002732478,0.00004177047,0.003722004,0.0002111775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8799636,0.0004997561,0.116414,0.001138833,0.0002735437,0.001200804,0.00006546614,0.0001125715,0.0003314673],"genre_scores_gemma":[0.9973645,0.00003730784,0.0006541359,0.0002679107,0.000174348,0.0001108597,0.001328851,0.00003688256,0.00002520498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1174009,"threshold_uncertainty_score":0.8586509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752931975967365,"score_gpt":0.2686935226969725,"score_spread":0.2311642029372988,"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."}}