{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00408137,0.0009028505,0.001226294,0.0007786668,0.0002604741,0.0006972526,0.0004107354,0.0007726063,0.001188101],"category_scores_gemma":[0.004749575,0.0003269148,0.001375003,0.0005163259,0.0002445189,0.0003907953,0.0006316054,0.0006370716,0.0002148703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418661,"about_ca_system_score_gemma":0.0003837854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102413,"about_ca_topic_score_gemma":0.001738835,"domain_scores_codex":[0.9990557,0.0005046945,0.00008950216,0.0001825026,0.0001115438,0.0000560056],"domain_scores_gemma":[0.9981605,0.0008000295,0.000537307,0.0001563097,0.0001316337,0.0002142182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003704811,0.0001441359,0.9885698,0.000108161,0.00108112,0.00004621161,0.00002473322,0.0005394296,0.0002388952,0.00001929995,0.0002203693,0.005302935],"study_design_scores_gemma":[0.0008054972,0.001801782,0.991523,0.00005293147,0.00133558,0.0001759404,0.00003190339,0.003629978,0.0001447537,0.000194532,0.0002905991,0.00001342761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962987,0.001877169,0.0005457878,0.0001085733,0.00003609249,0.00005038211,0.0005756834,0.00001254227,0.0004949949],"genre_scores_gemma":[0.9982242,0.0003192228,0.000360311,0.00004708855,0.00004999063,0.00002988843,0.0008400616,0.00000178161,0.0001276229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00408137,"threshold_uncertainty_score":0.02158457,"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."}}