{"id":"W2115350032","doi":"10.1161/circheartfailure.112.972828","title":"Predictors of New-Onset Heart Failure","year":2012,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":378,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; University Health Network","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; American Heart Association","keywords":"Medicine; Internal medicine; Cardiology; Heart failure; Ejection fraction; Atrial fibrillation; Heart failure with preserved ejection fraction; Diabetes mellitus; Framingham Risk Score; Left bundle branch block; Proportional hazards model; Left ventricular hypertrophy; Framingham Heart Study; Hazard ratio; Disease; Blood pressure; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005844635,0.0003059285,0.0002845996,0.0005228287,0.0002781572,0.0004645242,0.0003939423,0.0004617854,0.00427001],"category_scores_gemma":[0.003062108,0.0001584151,0.0003064058,0.0005469465,0.0002175558,0.0003172764,0.000391599,0.0007952876,0.0003780073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071629,"about_ca_system_score_gemma":0.0005175694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00359937,"about_ca_topic_score_gemma":0.00475862,"domain_scores_codex":[0.9997166,0.00005152699,0.00002856526,0.00006425126,0.00007068812,0.00006830405],"domain_scores_gemma":[0.9971018,0.0006162319,0.001112985,0.00007252464,0.0003636384,0.0007327307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001998196,0.00001416651,0.9991917,0.000006838237,0.00001352373,0.00003270056,0.000006548444,0.00002919266,0.00002849997,0.000004427908,0.00009300769,0.0005593505],"study_design_scores_gemma":[0.000003322175,0.00002212315,0.9994407,0.000008366194,0.00001598303,0.0001905797,0.00002499557,0.0001635637,0.00001856436,0.00001909113,0.00009091778,0.00000175754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965343,0.001418897,0.0001649538,0.000255408,0.00002621838,0.00001145822,0.0006911561,0.00001276406,0.0008846946],"genre_scores_gemma":[0.9989385,0.0002475652,0.00008561893,0.00002203402,0.00004117729,0.000005098038,0.0005024517,0.000002081412,0.0001555502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00427001,"threshold_uncertainty_score":0.01428461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750786762100363,"score_gpt":0.2545616786816821,"score_spread":0.2370538110606784,"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."}}