{"id":"W2891200806","doi":"10.1161/circheartfailure.117.004646","title":"Trends in Noncardiovascular Comorbidities Among Patients Hospitalized for Heart Failure","year":2018,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; MyoKardia; Alberta Innovates; Canadian Cardiovascular Society; GlaxoSmithKline; Amgen; American Heart Association","keywords":"Medicine; Comorbidity; Hazard ratio; Confidence interval; Internal medicine; Heart failure; Diabetes mellitus; Odds ratio; Body mass index; Obesity; Concomitant","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":[0.0007778099,0.0001874425,0.0002718263,0.001194568,0.0002375616,0.0006218775,0.0004611144,0.0004276058,0.001296709],"category_scores_gemma":[0.00254256,0.0001880031,0.0005230004,0.001740497,0.0001532314,0.0005993093,0.0004490577,0.0006432652,0.0001476459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153138,"about_ca_system_score_gemma":0.000563566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389913,"about_ca_topic_score_gemma":0.02699127,"domain_scores_codex":[0.9992979,0.0001150353,0.0001204452,0.0001534691,0.0001829227,0.0001301541],"domain_scores_gemma":[0.9961927,0.0004781145,0.002278516,0.0001277156,0.0005392997,0.0003835869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002166441,0.00001327909,0.9988685,0.000009598947,0.00002860092,0.00001193483,0.00002179031,0.00003307485,0.00003624322,0.00001419924,0.0001775327,0.0007635907],"study_design_scores_gemma":[0.000002064775,0.00001402338,0.9995759,0.000007659288,0.00000904595,0.00004197731,0.00004646137,0.0001454671,0.00001917314,0.00001005382,0.0001264812,0.000001699943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950116,0.0007598981,0.0001229668,0.0002588218,0.00001539981,0.00001180757,0.003095722,0.000008932967,0.0007149408],"genre_scores_gemma":[0.9958615,0.0004543111,0.0001519021,0.0001036291,0.00003063985,0.00001539739,0.003242075,0.000003553642,0.0001371703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01389913,"threshold_uncertainty_score":0.02763641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601967884041069,"score_gpt":0.2685272055882224,"score_spread":0.2525075267478116,"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."}}