{"id":"W3048413376","doi":"10.1016/j.ijcard.2020.08.039","title":"Risk prediction models for heart failure admissions in adults with congenital heart disease","year":2020,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; University Health Network; University of Toronto; Toronto General Hospital; Alberta Hospital Edmonton; University of British Columbia; Montreal Heart Institute; St. Paul's Hospital; Université de Montréal; Université Laval; University of Ottawa; McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Fédération Française de Cardiologie; Health Research","keywords":"Medicine; Internal medicine; Heart failure; Diabetes mellitus; Odds ratio; Cohort; Population; Framingham Risk Score; Retrospective cohort study; Kidney disease; Coronary artery disease; Cardiology; Disease","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":[],"consensus_categories":[],"category_scores_codex":[0.0001236313,0.0001194094,0.0003879282,0.0001457921,0.00003385297,0.000009619508,0.00009329512,0.00005215433,0.00002270697],"category_scores_gemma":[0.0007196374,0.00009172926,0.0002482651,0.00007678603,0.00006578467,0.0001672979,0.00004056837,0.0002455025,0.000004365464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007753909,"about_ca_system_score_gemma":0.0003567424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004738426,"about_ca_topic_score_gemma":0.000007866002,"domain_scores_codex":[0.9988809,0.00006605279,0.0003877895,0.0001737798,0.0003368507,0.0001546768],"domain_scores_gemma":[0.9984468,0.0001429755,0.00009828357,0.00007740453,0.0007777415,0.0004568423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04448511,0.0001836013,0.8958725,0.00009352071,0.002423061,0.0009404425,0.0008561301,0.008013331,0.0006403053,0.0001832752,0.04427696,0.002031787],"study_design_scores_gemma":[0.02753437,0.006082803,0.8527143,0.00086021,0.001496322,0.003077554,0.002015625,0.03195584,0.0001534346,0.003061607,0.07056667,0.0004812767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540057,0.001064856,0.005289511,0.03784006,0.0004678507,0.0005148787,0.0005677673,0.00002487923,0.0002245009],"genre_scores_gemma":[0.9961949,0.00006002918,0.001275192,0.001114435,0.001271749,0.00002616594,0.00002528375,0.00001595878,0.00001626204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04315819,"threshold_uncertainty_score":0.3740611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677361792869044,"score_gpt":0.2858434789741829,"score_spread":0.2690698610454925,"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."}}