{"id":"W4388586266","doi":"10.1161/circulationaha.123.067530","title":"Optimal Screening for Predicting and Preventing the Risk of Heart Failure Among Adults With Diabetes Without Atherosclerotic Cardiovascular Disease: A Pooled Cohort Analysis","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute; National Institute on Aging","keywords":"Medicine; Internal medicine; Cardiology; Diabetes mellitus; Heart failure; Cohort; Framingham Risk Score; Natriuretic peptide; Type 2 diabetes; Disease; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01665402,0.001993134,0.003421013,0.002041091,0.0005691997,0.002069427,0.001327378,0.001726151,0.001563247],"category_scores_gemma":[0.01939189,0.001533934,0.01664587,0.001913793,0.0004063412,0.0009728261,0.001436874,0.001112516,0.0003297733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007714601,"about_ca_system_score_gemma":0.00110392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240009,"about_ca_topic_score_gemma":0.009304077,"domain_scores_codex":[0.9931557,0.00341392,0.0007929275,0.001681008,0.0005038054,0.0004528065],"domain_scores_gemma":[0.9898432,0.003314294,0.001996256,0.003235371,0.001127121,0.0004836886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02878928,0.0002835078,0.7629688,0.0008183301,0.1915113,0.0002075408,0.0001358326,0.003385734,0.00070828,0.0001470038,0.00149405,0.009550307],"study_design_scores_gemma":[0.00360688,0.003037913,0.7515305,0.0002783225,0.225842,0.0003145648,0.000260981,0.01258042,0.0003737879,0.0004779663,0.001557398,0.0001391942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96653,0.01638655,0.008144351,0.0003072416,0.0003309154,0.0004596048,0.006630998,0.0001845898,0.00102568],"genre_scores_gemma":[0.9925012,0.001542749,0.002239153,0.0001284843,0.0001175295,0.000274528,0.002892999,0.00002974049,0.00027365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01665402,"threshold_uncertainty_score":0.08807588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009442785117831011,"score_gpt":0.2201452841772363,"score_spread":0.2107024990594053,"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."}}