{"id":"W2224378993","doi":"","title":"Abstract 18193: Stress Myocardial Perfusion Positron Emission Tomography Provides Incremental Risk Prediction in Subjects With and Without Diabetes","year":2014,"lang":"en","type":"article","venue":"Florida International University Digital Commons (Florida International University)","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Myocardial perfusion imaging; Positron emission tomography; Hazard ratio; Ejection fraction; Diabetes mellitus; Internal medicine; Cardiology; Proportional hazards model; Cardiac PET; Nuclear medicine; Perfusion; Coronary artery disease; Confidence interval; Heart failure; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001514648,0.0003086382,0.0003277668,0.001205649,0.0002203526,0.0001875596,0.0003617733,0.0001287702,0.00004264462],"category_scores_gemma":[0.0002155684,0.0003324558,0.000190848,0.0004108909,0.000229118,0.001319599,0.00033857,0.0003917126,0.00001394999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006352095,"about_ca_system_score_gemma":0.0001049637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461657,"about_ca_topic_score_gemma":0.0001793411,"domain_scores_codex":[0.9981433,0.00006077742,0.0002301874,0.0005536306,0.0007068308,0.000305334],"domain_scores_gemma":[0.9986773,0.0002482835,0.0001969621,0.0002335575,0.000380111,0.0002638116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001518999,0.0002257878,0.9937989,0.00002428655,0.0002985823,0.0001055328,0.0001337075,0.0002687235,0.0005568694,0.0007302509,0.0005408016,0.001797594],"study_design_scores_gemma":[0.005197939,0.0003947218,0.9658604,0.00049553,0.0001932122,0.00004135399,0.0009535479,0.002849835,0.0008829302,0.00005586772,0.02269507,0.0003795763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439537,0.00001896864,0.000447993,0.0004793047,0.0008976299,0.0003003375,0.0007812277,0.0001345736,0.05298626],"genre_scores_gemma":[0.9971068,0.00005530331,0.0001889696,0.00004751462,0.0003820445,8.417298e-7,0.0008738543,0.00002566345,0.001318998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05315311,"threshold_uncertainty_score":0.9999127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00500556871006948,"score_gpt":0.1896647690650917,"score_spread":0.1846592003550222,"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."}}