{"id":"W2565340679","doi":"10.1182/blood.v118.21.2311.2311","title":"Clinical Performance of Bleeding Risk Scores for Predicting Major and Clinically Relevant Non-Major Bleeding Events in Patients Receiving Oral Anticoagulant Therapy","year":2011,"lang":"en","type":"article","venue":"Blood","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; London Health Sciences Centre","funders":"","keywords":"Medicine; Atrial fibrillation; Internal medicine; Rivaroxaban; Retrospective cohort study; Incidence (geometry); Major bleeding; Apixaban; Thrombosis; Chest pain; Framingham Risk Score; Physical therapy; Warfarin","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":[0.001915326,0.0004761161,0.0005952235,0.001092348,0.0003113573,0.001161368,0.0004403302,0.0007248365,0.001333843],"category_scores_gemma":[0.01080703,0.0002964451,0.0007524026,0.0009987992,0.0002753692,0.0007305503,0.0004328878,0.0008462628,0.0004352759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003448269,"about_ca_system_score_gemma":0.000299459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370797,"about_ca_topic_score_gemma":0.001416431,"domain_scores_codex":[0.998876,0.0003906996,0.0002063906,0.0001537388,0.0002591554,0.0001140219],"domain_scores_gemma":[0.9935628,0.002516279,0.002285495,0.0002694701,0.0007031242,0.0006628819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003018251,0.00005025676,0.9984568,0.000005569044,0.00004146881,0.00002563224,0.00002222383,0.00004914137,0.00006268487,0.000007122509,0.0000608075,0.0009163406],"study_design_scores_gemma":[0.00005399284,0.000663489,0.996956,0.00001197631,0.00005893117,0.0002299845,0.00009536144,0.00170505,0.00008063728,0.00003454313,0.0001015307,0.000008577456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990762,0.0002173418,0.00008718361,0.0000445753,0.00001136462,0.000014705,0.0001870615,0.0000031895,0.0003583675],"genre_scores_gemma":[0.9994605,0.00006018467,0.000123222,0.00001653175,0.00001618155,0.00001097462,0.0002468638,0.000001255558,0.0000642267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001915326,"threshold_uncertainty_score":0.01012933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07611609062560037,"score_gpt":0.3451941711607014,"score_spread":0.2690780805351011,"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."}}