{"id":"W3046998131","doi":"10.1182/bloodadvances.2020002335","title":"Predictors of preprocedural direct oral anticoagulant levels in patients having an elective surgery or procedure","year":2020,"lang":"en","type":"article","venue":"Blood Advances","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Apixaban; Medicine; Dabigatran; Rivaroxaban; Dosing; Perioperative; Renal function; Bleed; Urology; Atrial fibrillation; Anticoagulant; Creatinine; Internal medicine; Anesthesia; Surgery; Warfarin","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003890206,0.0002376085,0.0002768773,0.0003615944,0.0001993382,0.0005091073,0.000227313,0.0003998867,0.0008763666],"category_scores_gemma":[0.002094508,0.0001897035,0.0004205159,0.0004853203,0.0001967566,0.0002649854,0.0003081509,0.0008141874,0.0001221522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476238,"about_ca_system_score_gemma":0.0003494775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457563,"about_ca_topic_score_gemma":0.002259189,"domain_scores_codex":[0.9997049,0.00005918481,0.00005004025,0.00005879147,0.00005766446,0.00006941493],"domain_scores_gemma":[0.9979246,0.0004858942,0.0009239512,0.00008527367,0.0001108202,0.0004693363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001294066,0.00003164269,0.9991502,0.000003995247,0.00001691637,0.00004675059,0.0000121757,0.00002297495,0.00009381098,0.000007924921,0.00003724809,0.0004469566],"study_design_scores_gemma":[0.00001884613,0.0002322923,0.9990571,0.000004818724,0.00002411158,0.0002631519,0.00005367124,0.0002025557,0.00004706231,0.00001650908,0.00007592006,0.000003896384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994349,0.0001654093,0.0000389287,0.00002365321,0.000004817982,0.00000508309,0.0001156342,0.000001485178,0.0002101359],"genre_scores_gemma":[0.9995227,0.00008119523,0.00006531253,0.00002498287,0.00001507738,0.000005775033,0.0002334584,0.000001272625,0.00005022853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457563,"threshold_uncertainty_score":0.002931714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07623660977707361,"score_gpt":0.3292678125012159,"score_spread":0.2530312027241423,"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."}}