{"id":"W2013586957","doi":"10.1016/j.cjca.2014.07.515","title":"THE INFLUENCE OF STROKE AND BLEEDING RISK ON ORAL ANTICOAGULATION USE FOR STROKE PREVENTION IN PATIENTS WITH ATRIAL FIBRILLATION: INSIGHTS FROM THE STROKE PREVENTION AND RHYTHM INTERVENTIONS IN ATRIAL FIBRILLATION (SPRINT-AF) REGISTRY","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Atrial fibrillation; Stroke (engine); Internal medicine; Warfarin; Cohort; Oral anticoagulant; Logistic regression; Odds ratio; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001935115,0.0003324432,0.001236715,0.0007988453,0.0004240745,0.001369262,0.0006839963,0.0009406642,0.001097623],"category_scores_gemma":[0.007264861,0.0003811216,0.001884684,0.002804607,0.0002396667,0.0007164798,0.0007024154,0.001491233,0.000244456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007342817,"about_ca_system_score_gemma":0.001304014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04363961,"about_ca_topic_score_gemma":0.09078064,"domain_scores_codex":[0.9981105,0.0005521491,0.0003433507,0.0002864049,0.0004960163,0.0002114943],"domain_scores_gemma":[0.9946661,0.001634909,0.00184693,0.0004338775,0.0007227437,0.0006955629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006003171,0.00007024621,0.9936167,0.00004289137,0.00072105,0.00006691865,0.00003849994,0.0000869717,0.00003896978,0.00007095567,0.001041573,0.003604937],"study_design_scores_gemma":[0.00005002912,0.00004678055,0.9986965,0.00001866187,0.0003740986,0.0001021818,0.00005111286,0.0001528264,0.00001526755,0.00004842394,0.0004356214,0.000008521532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703667,0.007328599,0.0002029605,0.001161908,0.00008672284,0.00004213277,0.01443456,0.00002207493,0.006354343],"genre_scores_gemma":[0.9848947,0.003067877,0.0004205792,0.0003942333,0.0002105158,0.00004571309,0.01045236,0.00001713696,0.0004968916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04363961,"threshold_uncertainty_score":0.08677119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03597968275814949,"score_gpt":0.2930817431493579,"score_spread":0.2571020603912084,"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."}}