{"id":"W2999933890","doi":"10.1093/ehjqcco/qcaa002","title":"Frailty to predict unplanned hospitalization, stroke, bleeding, and death in atrial fibrillation","year":2020,"lang":"en","type":"article","venue":"European Heart Journal - Quality of Care and Clinical Outcomes","topic":"Frailty in Older Adults","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Universität Basel; Foundation for Cardiovascular Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Hazard ratio; Atrial fibrillation; Stroke (engine); Confidence interval; Internal medicine; Proportional hazards model; Prospective cohort study; Cohort study","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00129998,0.0001478357,0.0006790917,0.00007310814,0.00006411978,0.00004523355,0.0000720117,0.00007395102,0.00002984462],"category_scores_gemma":[0.005961244,0.0001213088,0.0003122568,0.0001158171,0.00006302423,0.0001226982,0.00008878183,0.000351985,0.000009772692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002153633,"about_ca_system_score_gemma":0.00006117932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002694112,"about_ca_topic_score_gemma":0.00002118452,"domain_scores_codex":[0.9973167,0.0005409741,0.001297407,0.0002688551,0.0003996567,0.0001764099],"domain_scores_gemma":[0.9980795,0.0008422796,0.0002343496,0.0001288965,0.0002087222,0.0005062334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005099732,0.00001499598,0.9907838,0.000106876,0.00008997741,0.00002019872,0.001564694,0.00002759304,0.00002172951,0.00003499931,0.00109889,0.005726301],"study_design_scores_gemma":[0.003469638,0.002267977,0.98408,0.000163214,0.00009061734,0.00002323023,0.0006340694,0.00004862599,0.00001155265,0.00002380079,0.009066733,0.000120519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841041,0.0008034979,0.0002027962,0.0135296,0.0002360365,0.0002749599,0.00003429396,0.00002788246,0.0007868317],"genre_scores_gemma":[0.994774,0.0005071314,0.001202228,0.002469906,0.0009149204,1.473934e-7,0.00001354979,0.00002051059,0.00009754296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105969,"threshold_uncertainty_score":0.7136597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139342030773569,"score_gpt":0.429396616660792,"score_spread":0.290054585887223,"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."}}