{"id":"W3207623548","doi":"10.1503/cmaj.210811","title":"Intracranial hemorrhage after head injury among older patients on anticoagulation seen in the emergency department: a population-based cohort study","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; McMaster University; Schwartz/Reisman Emergency Medicine Institute; Queen's University; University of Toronto; Sunnybrook Health Science Centre","funders":"Cancer Care Ontario","keywords":"Medicine; Warfarin; Emergency department; Hazard ratio; Head injury; Retrospective cohort study; Anticoagulant; Cohort; Propensity score matching; Cohort study; Population; Relative risk; Confidence interval; Intracerebral hemorrhage; Stroke (engine); Internal medicine; Emergency medicine; Surgery; Glasgow Coma Scale; Atrial fibrillation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0009526391,0.0004632966,0.0006481489,0.001138377,0.0007920295,0.0009683546,0.0005806321,0.0006705364,0.001089336],"category_scores_gemma":[0.002482521,0.0005703842,0.001013266,0.00207988,0.0003911503,0.0008672419,0.0006520362,0.000824899,0.0002093119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608073,"about_ca_system_score_gemma":0.0007215649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424655,"about_ca_topic_score_gemma":0.02499542,"domain_scores_codex":[0.9991209,0.0001643277,0.0001059739,0.0002507572,0.0002164986,0.0001414514],"domain_scores_gemma":[0.9983556,0.0001698305,0.0007938884,0.000196527,0.0002015036,0.0002826113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000608852,0.00003682692,0.9992875,0.000004788069,0.0001012468,0.00006467957,0.00006369236,0.000017032,0.00006836875,0.000008260955,0.00005268607,0.0002340604],"study_design_scores_gemma":[0.0000246464,0.0001251098,0.9990375,0.000008069956,0.00008779346,0.000230543,0.0001930151,0.0001426821,0.00001696468,0.00001431806,0.0001132512,0.000005999776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992066,0.0000981556,0.00005812283,0.00002876452,0.000005572897,0.00002294867,0.0004034515,0.00000181144,0.0001746259],"genre_scores_gemma":[0.9990982,0.0001344197,0.00007864943,0.00004772395,0.00001621473,0.00002228447,0.0005274775,0.000001568887,0.00007353711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02424655,"threshold_uncertainty_score":0.0482108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007402215852169596,"score_gpt":0.2548956565537665,"score_spread":0.2474934407015969,"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."}}