{"id":"W4388609933","doi":"10.1056/nejmoa2310234","title":"Apixaban for Stroke Prevention in Subclinical Atrial Fibrillation","year":2023,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":415,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval; Population Health Research Institute; Université de Montréal; Université de Sherbrooke; McMaster University; University of Ottawa; Montreal Heart Institute","funders":"Canadian Institutes of Health Research; Novo Nordisk Fonden; Canadian Stroke Network; Institute of Circulatory and Respiratory Health; Hamilton Health Sciences; Pfizer; Heart and Stroke Foundation of Canada; Medtronic; Population Health Research Institute; Bristol-Myers Squibb; Bristol-Myers Squibb Foundation","keywords":"Atrial fibrillation; Apixaban; Subclinical infection; Stroke (engine); Medicine; Cardiology; Internal medicine; Warfarin; Rivaroxaban","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00136716,0.0004507128,0.001121184,0.0002138767,0.0001308531,0.0004946013,0.0003254486,0.0004096426,0.003041754],"category_scores_gemma":[0.001051111,0.0001217361,0.0006543525,0.0002196302,0.0003315734,0.0002126253,0.0002516732,0.001007167,0.0002975221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665713,"about_ca_system_score_gemma":0.0004374161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099913,"about_ca_topic_score_gemma":0.000180774,"domain_scores_codex":[0.9995642,0.0002526743,0.0000597269,0.00004025261,0.00004445104,0.000038662],"domain_scores_gemma":[0.999495,0.0001905577,0.0001487195,0.00003432652,0.00003380484,0.00009751913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4256997,0.005943864,0.01583059,0.01113664,0.003000841,0.0008463127,0.000188645,0.001226105,0.04004546,0.001818431,0.004707769,0.4895556],"study_design_scores_gemma":[0.6815501,0.1980108,0.07300844,0.001853438,0.004460721,0.003421292,0.00009920297,0.003130127,0.012113,0.002748983,0.01954803,0.00005580252],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8754381,0.1158335,0.001614096,0.002006558,0.0004738525,0.0007062867,0.000259758,0.00008002982,0.003587747],"genre_scores_gemma":[0.9747116,0.0212001,0.001437975,0.0006655102,0.0005222658,0.0005628472,0.0002312485,0.000007904364,0.0006603941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003041754,"threshold_uncertainty_score":0.01017565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264504763246008,"score_gpt":0.4162834842347588,"score_spread":0.289833007910158,"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."}}