{"id":"W3215028695","doi":"10.1161/circ.144.suppl_1.10878","title":"Abstract 10878: New Bleeding Risk Prediction Model for Patients with Atrial Fibrillation on Direct Oral Anticoagulants","year":2021,"lang":"en","type":"article","venue":"Circulation","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Atrial fibrillation; Medicine; Warfarin; Internal medicine; Incidence (geometry); Cardiology","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":[0.002476614,0.001074538,0.001155798,0.00194487,0.0003966584,0.001230148,0.001137239,0.0008343391,0.003854375],"category_scores_gemma":[0.003893817,0.0003279474,0.001341854,0.0008135352,0.0001930725,0.0005876443,0.0008115333,0.001244575,0.001210054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225571,"about_ca_system_score_gemma":0.001280206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087308,"about_ca_topic_score_gemma":0.005728761,"domain_scores_codex":[0.9993474,0.000210452,0.00006332368,0.0001766145,0.0001180154,0.00008415524],"domain_scores_gemma":[0.9986907,0.000726849,0.0001518985,0.00005409669,0.0002671564,0.0001093371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00195904,0.00145456,0.5032367,0.0001571438,0.0009663705,0.0009012104,0.0002546841,0.2749534,0.001241624,0.001568644,0.01812224,0.1951844],"study_design_scores_gemma":[0.00007601709,0.0001706137,0.01924918,0.00002716741,0.0001054355,0.0001591557,0.00003264799,0.978213,0.0001245802,0.001027599,0.000795729,0.00001891497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311097,0.001457606,0.1468931,0.003616378,0.0003578895,0.0005893351,0.008922753,0.001515144,0.005538155],"genre_scores_gemma":[0.9651151,0.0003833476,0.02410921,0.0002560645,0.0001848593,0.0004439365,0.006153075,0.00004105162,0.003313387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087308,"threshold_uncertainty_score":0.02161956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350185325528425,"score_gpt":0.31020727130575,"score_spread":0.2467054180504658,"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."}}