{"id":"W2957129721","doi":"10.3171/2019.4.jns19252","title":"Antithrombotic agents and traumatic brain injury in the elderly population: hemorrhage patterns and outcomes","year":2019,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal","funders":"","keywords":"Medicine; Glasgow Coma Scale; Traumatic brain injury; Rivaroxaban; Warfarin; Trauma center; Dabigatran; Glasgow Outcome Scale; Stroke (engine); Aspirin; Anesthesia; Head trauma; Geriatric trauma; Population; Clopidogrel; Internal medicine; Injury Severity Score; Emergency medicine; Atrial fibrillation; Surgery; Retrospective cohort study; Poison control; Injury prevention","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":[0.000330756,0.0001878966,0.0002334119,0.0008995951,0.0002846759,0.0004139194,0.0001507905,0.0002943579,0.001020292],"category_scores_gemma":[0.00111716,0.0001216804,0.0003060455,0.001382227,0.000216757,0.0004233737,0.0003442956,0.0002874419,0.0002124962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068447,"about_ca_system_score_gemma":0.000299887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00527486,"about_ca_topic_score_gemma":0.006417738,"domain_scores_codex":[0.9997047,0.00005743821,0.00005623933,0.00005011914,0.00007143421,0.00006016362],"domain_scores_gemma":[0.999235,0.00005539052,0.0004778895,0.00002330017,0.00008597463,0.0001224337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001802577,0.00001214452,0.9992906,0.000003584659,0.00002058227,0.00004612595,0.00002046163,0.00001338013,0.00004071059,0.000003951399,0.0000328803,0.0004974683],"study_design_scores_gemma":[0.000002487866,0.00005119955,0.9993021,0.000005565861,0.00001168719,0.0003402499,0.0001211818,0.00006837406,0.00001821628,0.00001189958,0.00006570892,0.000001227004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990171,0.0003020815,0.00003337736,0.00006780987,0.000003907007,0.00000545342,0.0002624572,0.000001416077,0.0003063547],"genre_scores_gemma":[0.9993752,0.0002321375,0.00003526101,0.00002928992,0.00001403473,0.000003884476,0.0002375956,4.710014e-7,0.00007224582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00527486,"threshold_uncertainty_score":0.01048833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372274153290947,"score_gpt":0.3203733629735711,"score_spread":0.2866506214406617,"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."}}