{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001926656,0.00009060434,0.0004593187,0.0004467973,0.00002574014,0.000006471653,0.00004833343,0.00006984545,0.0001052736],"category_scores_gemma":[0.001974799,0.00006280361,0.0002433128,0.0003098173,0.00002681674,0.00009660654,0.0000131549,0.000131532,0.000008757601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003844619,"about_ca_system_score_gemma":0.000104323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001070889,"about_ca_topic_score_gemma":0.00001813529,"domain_scores_codex":[0.9985288,0.0000649616,0.0007777235,0.0001007914,0.0003784185,0.0001493244],"domain_scores_gemma":[0.9986386,0.0007095562,0.0003208484,0.00008686954,0.0001105537,0.0001335809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007740559,0.00000490351,0.5271847,0.00009690134,0.0001969208,0.00006224236,0.0004785486,0.001320474,0.001120555,0.0006033797,0.01475493,0.4464359],"study_design_scores_gemma":[0.2053505,0.004812229,0.4066382,0.0005975208,0.0006165564,0.0001191204,0.0002966564,0.002249269,0.00009540059,0.006744301,0.372331,0.0001492201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557908,0.0004826707,0.002559392,0.03827961,0.001895727,0.0005366508,0.000001800884,0.00003145332,0.0004219062],"genre_scores_gemma":[0.9572305,0.0005629822,0.0008503244,0.00009072245,0.03578449,2.193024e-7,0.00003970241,0.00001519429,0.005425875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4462867,"threshold_uncertainty_score":0.2561057,"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."}}