{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003125611,0.0001904611,0.000450701,0.000210427,0.00008801567,0.0000140266,0.00004429942,0.0002413679,0.001036734],"category_scores_gemma":[0.0001480752,0.0001682954,0.0005186319,0.0004158603,0.00006695194,0.0002418605,0.00002407859,0.0002502635,0.0002619117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000761094,"about_ca_system_score_gemma":0.000160142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014159,"about_ca_topic_score_gemma":0.00001491226,"domain_scores_codex":[0.9984435,0.00008117597,0.0003641893,0.0002361043,0.0005384637,0.0003365687],"domain_scores_gemma":[0.9987563,0.00004705809,0.00007864739,0.0005137204,0.000150525,0.0004537042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000246413,0.00006346808,0.8393822,0.00004402696,0.0001407729,3.421962e-7,0.0002931399,0.00007745116,0.004762121,0.00005201878,0.1550081,0.00015176],"study_design_scores_gemma":[0.000628515,0.00003283609,0.5868151,0.0000350761,0.0001285215,0.0001635192,0.0001839726,0.00002443265,0.001745542,0.000006837261,0.4101361,0.00009960948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917325,0.0004842247,0.001086958,0.004883973,0.0008930537,0.0005238894,0.00001644211,0.0001767332,0.0002022146],"genre_scores_gemma":[0.9960806,0.000006102906,0.001843891,0.0003885145,0.0009326025,0.000008401211,0.0001291814,0.00003595337,0.0005747146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.255128,"threshold_uncertainty_score":0.9998764,"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."}}