{"id":"W2955405259","doi":"10.1148/ryct.2019180018","title":"Stress Myocardial Perfusion PET Provides Incremental Risk Prediction in Patients with and Patients without Diabetes","year":2019,"lang":"en","type":"article","venue":"Radiology Cardiothoracic Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Diabetes mellitus; Hazard ratio; Myocardial perfusion imaging; Coronary artery disease; Proportional hazards model; Perfusion; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008005866,0.0005101748,0.0004003906,0.0004941761,0.0002135635,0.0007572262,0.0002571197,0.0006762198,0.001059423],"category_scores_gemma":[0.003518411,0.0002548278,0.0004269016,0.0002555701,0.0003103482,0.0005670605,0.0003630634,0.0007371057,0.0002315115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040712,"about_ca_system_score_gemma":0.0001579526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005297571,"about_ca_topic_score_gemma":0.001122708,"domain_scores_codex":[0.9996911,0.0001077878,0.00002686137,0.00006380546,0.00004680585,0.00006368491],"domain_scores_gemma":[0.9984595,0.000633081,0.0004059742,0.00009441464,0.00009866199,0.0003083427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00115251,0.00004717799,0.9940327,0.000007708502,0.00005785215,0.0001786082,0.00002310969,0.0001124587,0.0004378409,0.00001934499,0.00008872453,0.003841998],"study_design_scores_gemma":[0.00004907911,0.0006522533,0.9953135,0.00001389562,0.0001546103,0.001095488,0.000119949,0.001857249,0.0003589303,0.0001573395,0.0002164871,0.00001106897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988237,0.0005071262,0.0001103496,0.00008777592,0.00001933311,0.000003165137,0.00007742874,0.000004727176,0.0003664068],"genre_scores_gemma":[0.9995932,0.00009487976,0.0000762613,0.00002997747,0.00004457064,0.000001791299,0.0001071754,0.000001053223,0.0000511212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059423,"threshold_uncertainty_score":0.004233897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00281646061939775,"score_gpt":0.219364030879487,"score_spread":0.2165475702600892,"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."}}