{"id":"W2399997588","doi":"10.1080/15563650.2016.1187737","title":"Idarucizumab for dabigatran overdose","year":2016,"lang":"en","type":"article","venue":"Clinical Toxicology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Fonds Wetenschappelijk Onderzoek","keywords":"Dabigatran; Idarucizumab; Medicine; Direct thrombin inhibitor; Antidote; Partial thromboplastin time; Anticoagulant; Thrombin time; Anesthesia; Context (archaeology); Warfarin; Intensive care medicine; Pharmacology; Coagulation; Atrial fibrillation; Surgery; Internal medicine; Toxicity","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":[0.0001860827,0.0003353935,0.0003354274,0.0004439999,0.0006725037,0.0008321603,0.0003278742,0.001297627,0.002635441],"category_scores_gemma":[0.001785267,0.00009541682,0.0003632443,0.0002474774,0.000492267,0.0007434874,0.000520034,0.001894731,0.001080803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004416249,"about_ca_system_score_gemma":0.0008030272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004399859,"about_ca_topic_score_gemma":0.0005427299,"domain_scores_codex":[0.9997932,0.00004501403,0.00003699252,0.00002398739,0.00005285065,0.00004808111],"domain_scores_gemma":[0.9995265,0.0001003237,0.0001466417,0.00002789324,0.00005156979,0.0001470443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001517312,0.0001307292,0.03836968,0.0002801323,0.00002839627,0.8811721,0.0004920553,0.0002255247,0.003607401,0.002062755,0.01363753,0.05984184],"study_design_scores_gemma":[0.00003283921,0.000225493,0.007896393,0.0003121922,0.00003790603,0.9326079,0.0003151339,0.0005790056,0.002436791,0.001537712,0.05400474,0.00001379172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6307345,0.1114063,0.02104962,0.1027709,0.003818266,0.0004528592,0.0003479017,0.0009664483,0.1284532],"genre_scores_gemma":[0.966207,0.01365049,0.003384067,0.009158415,0.002752603,0.00002782543,0.0001583472,0.00004543197,0.004615865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002635441,"threshold_uncertainty_score":0.008816481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2617671042017233,"score_gpt":0.4944420364721857,"score_spread":0.2326749322704623,"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."}}