{"id":"W4321483118","doi":"10.1016/j.jacep.2022.11.032","title":"Risks of Heart Failure, Stroke, and Bleeding in Atrial Fibrillation According to Heart Failure Phenotypes","year":2023,"lang":"en","type":"article","venue":"JACC. Clinical electrophysiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Surgical Specialties (Canada)","funders":"Daiichi Sankyo Company","keywords":"Medicine; Heart failure; Internal medicine; Cardiology; Atrial fibrillation; Ejection fraction; Stroke (engine); Myocardial infarction; TIMI; Thrombolysis; Population","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":[0.0006671649,0.0001797134,0.0009267237,0.0003854516,0.00006487686,0.00001529416,0.00007324178,0.0002533853,0.00005824012],"category_scores_gemma":[0.001516691,0.0001598928,0.0003176424,0.0007699315,0.0000778781,0.0001006722,0.000152528,0.0002947772,0.0001234098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003409114,"about_ca_system_score_gemma":0.00006323952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008859712,"about_ca_topic_score_gemma":0.0000381053,"domain_scores_codex":[0.9978735,0.0001897513,0.0008626666,0.0004591246,0.0001973352,0.0004175996],"domain_scores_gemma":[0.9981762,0.001219304,0.0001663013,0.0002243299,0.00008087626,0.0001330328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001788877,0.00000658802,0.8816772,0.00006058539,0.0001293536,0.000003301684,0.00003013853,0.0008989544,0.1044189,0.0006872978,0.004692144,0.005606682],"study_design_scores_gemma":[0.002946606,0.001824319,0.9682084,0.00005857904,0.0001133974,0.000003295886,0.0001580672,0.001463264,0.001184299,0.0008236401,0.02300829,0.0002078143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865188,0.00007361626,0.00003794394,0.01231235,0.0003091374,0.0005781369,0.000003971873,0.00009780537,0.00006826784],"genre_scores_gemma":[0.9940776,0.0001058715,0.002541847,0.0003575053,0.002646895,0.000002098395,0.00003382673,0.00002554758,0.0002088114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032346,"threshold_uncertainty_score":0.6520238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194460034865918,"score_gpt":0.4301411485890643,"score_spread":0.3106951451024724,"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."}}