{"id":"W2330979404","doi":"10.1016/s0735-1097(16)31890-3","title":"CHA2DS2-VASC VERSUS HAS-BLED SCORE FOR PREDICTING RISK OF MAJOR BLEEDING AND ISCHEMIC STROKE IN ATRIAL FIBRILLATION: INSIGHTS FROM RE-LY TRIAL","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; CHA2DS2–VASc score; Atrial fibrillation; Warfarin; Risk stratification; Dabigatran; Stroke (engine); Internal medicine; Cardiology; Ischemic stroke; Stroke risk; Randomized controlled trial; Ischemia","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":[0.003546276,0.002596708,0.006290388,0.0003754896,0.0005007359,0.002718529,0.001192595,0.002320864,0.003075724],"category_scores_gemma":[0.004963479,0.0007270025,0.004363505,0.0004770285,0.001041474,0.002675748,0.001057282,0.00572045,0.0008442944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008255462,"about_ca_system_score_gemma":0.0009346184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320424,"about_ca_topic_score_gemma":0.00286915,"domain_scores_codex":[0.9983473,0.0008622162,0.000130038,0.0003332963,0.0001344947,0.000192638],"domain_scores_gemma":[0.9974517,0.00109682,0.0004818241,0.000293557,0.0001650868,0.0005110013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9179149,0.00223521,0.0297016,0.001102143,0.01457514,0.0001474554,0.0001212686,0.001792112,0.001273994,0.0007305796,0.003542128,0.02686343],"study_design_scores_gemma":[0.8184604,0.04268581,0.0936106,0.0004792207,0.02759407,0.0003614789,0.0003284104,0.008599611,0.0007339335,0.003293727,0.003616449,0.0002362113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696543,0.01959323,0.0008705831,0.00280736,0.001178098,0.0004316745,0.001966653,0.0001131413,0.003385006],"genre_scores_gemma":[0.9851506,0.004225341,0.001409281,0.001635699,0.001916984,0.0006097784,0.002813439,0.00004825528,0.002190596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006290388,"threshold_uncertainty_score":0.01875478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810633412789115,"score_gpt":0.3033167377714678,"score_spread":0.2552104036435767,"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."}}