{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004329054,0.0002872465,0.0006778307,0.000272347,0.0001050615,0.00004105622,0.000060315,0.00007087578,0.00001235256],"category_scores_gemma":[0.0002886951,0.0002423666,0.0001084653,0.000162577,0.0001911248,0.0002532406,0.00009391454,0.0004203513,0.00001729324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267221,"about_ca_system_score_gemma":0.00007154274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007821312,"about_ca_topic_score_gemma":0.000001967891,"domain_scores_codex":[0.9980047,0.0002684285,0.0003196076,0.0005731985,0.0003524708,0.0004815986],"domain_scores_gemma":[0.9990526,0.0001564823,0.0001420851,0.0003451176,0.0001619087,0.0001417549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003887119,0.0001172688,0.9885154,0.0000867129,0.0001118607,0.00001305004,0.0002173053,0.00009212548,0.0001044797,0.000001160611,0.0002036071,0.01014834],"study_design_scores_gemma":[0.005940399,0.0003717788,0.9910437,0.0002787123,0.0003286848,0.00003283118,0.0001382936,0.001337365,0.0001434457,0.000005046457,0.0001386149,0.0002411463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964856,0.000541075,0.00005114427,0.00006284208,0.000633449,0.001064923,0.0001681191,0.00009421806,0.0008986545],"genre_scores_gemma":[0.9985873,0.00004072885,0.0005048391,0.0001762236,0.0001929264,0.00003412829,0.0003878263,0.00004974561,0.00002633707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009907197,"threshold_uncertainty_score":0.9883424,"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."}}