{"id":"W4293195039","doi":"10.1093/eurheartj/ehac487","title":"Predicting stroke in heart failure and reduced ejection fraction without atrial fibrillation","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Tsuchiya Foundation; British Heart Foundation; University of Glasgow; Uehara Memorial Foundation","keywords":"Medicine; Atrial fibrillation; Cardiology; Ejection fraction; Internal medicine; Heart failure; Stroke (engine); Stroke volume","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":[0.001260887,0.0001040776,0.0002114383,0.0003077668,0.0004441372,0.00007778026,0.00002737748,0.00002233719,0.000246708],"category_scores_gemma":[0.0001785869,0.0001030908,0.0001389533,0.0002089381,0.00001540446,0.0002489124,0.00007148006,0.0004715567,0.00001652309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447157,"about_ca_system_score_gemma":0.00003923762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019557,"about_ca_topic_score_gemma":0.000002886814,"domain_scores_codex":[0.9984477,0.0004745261,0.0003490569,0.0001818415,0.0003723395,0.0001745715],"domain_scores_gemma":[0.9995496,0.00006484449,0.0001559295,0.00009511643,0.00003683165,0.00009767135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000377599,0.000002178517,0.9887976,0.000009261846,0.0000269982,0.00001615943,0.0001217095,0.001312698,0.006054426,0.000008306987,0.0019242,0.001348833],"study_design_scores_gemma":[0.002024567,0.0003293606,0.7996947,0.00003186177,0.00004969831,0.0007368341,0.0006085751,0.001826507,0.00006049367,0.00001656222,0.1945287,0.00009209725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922773,0.0001820294,0.0001010024,0.005327225,0.0007484762,0.0002897005,0.000002148118,0.00005993282,0.001012221],"genre_scores_gemma":[0.9927619,0.00003248636,0.001111046,0.0001341975,0.00507541,2.711696e-7,0.00001112039,0.00002796491,0.0008455666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1926045,"threshold_uncertainty_score":0.420392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05303695914279152,"score_gpt":0.3263471309107888,"score_spread":0.2733101717679973,"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."}}