{"id":"W3162972900","doi":"10.1161/strokeaha.120.030565","title":"Hemostatic Efficacy and Anti-FXa (Factor Xa) Reversal With Andexanet Alfa in Intracranial Hemorrhage: ANNEXA-4 Substudy","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"National Institutes of Health; LEO Pharma; University of Calgary; Bristol-Myers Squibb; Eli Lilly and Company; CSL Behring; Alexion Pharmaceuticals; Daiichi Sankyo Europe; Sanofi; Servier; Amgen; National Heart, Lung, and Blood Institute; Pfizer; GlaxoSmithKline","keywords":"Medicine; Hemostasis; Rivaroxaban; Anesthesia; Population; Internal medicine; Apixaban; Surgery; Warfarin; Atrial fibrillation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001046549,0.0001594563,0.0003734186,0.00009632237,0.00005129895,0.0000421165,0.00003860908,0.00005570491,0.0002919456],"category_scores_gemma":[0.0001310693,0.0001310155,0.0000394753,0.0002548855,0.00004947994,0.0001077166,0.0000457284,0.0001511158,0.0000168679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000305494,"about_ca_system_score_gemma":0.0000633702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002865266,"about_ca_topic_score_gemma":0.00007417618,"domain_scores_codex":[0.9989279,0.00004975761,0.0002337826,0.0002941579,0.0002570504,0.0002373467],"domain_scores_gemma":[0.9994599,0.0001232244,0.00006029716,0.0002009082,0.00005336875,0.0001023328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006247197,0.00004690641,0.984108,0.0001335795,0.0000960125,0.001612286,0.000403119,0.00002044766,0.004310154,0.0000586471,0.0002037469,0.00838233],"study_design_scores_gemma":[0.009433005,0.0002840919,0.9853524,0.0000563039,0.0001436094,0.0001205265,0.0006931403,0.0005203896,0.001002803,0.00001113671,0.0021859,0.0001966695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995593,0.0002479296,0.0001088276,0.002527791,0.0001463033,0.000417732,0.00001836471,0.00004494006,0.0008951686],"genre_scores_gemma":[0.9949698,0.0000503359,0.002086498,0.0002703331,0.0002278832,0.000001280167,0.0000528636,0.00001998559,0.002321005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008808285,"threshold_uncertainty_score":0.5342656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134334231914881,"score_gpt":0.2990814005233223,"score_spread":0.2677380582041735,"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."}}