{"id":"W2398489852","doi":"10.1017/cjn.2016.241","title":"Discharge Against Medical Advice in Traumatic Brain Injury: Follow-Up and Readmission Rate","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Western University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation; McGill University Health Centre","funders":"","keywords":"Medicine; Psychosocial; Traumatic brain injury; Against medical advice; Emergency department; Emergency medicine; Psychological intervention; Neurosurgery; Psychiatry; Pediatrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005989961,0.0001732122,0.0003088317,0.0008929495,0.0003928502,0.000580716,0.0003470848,0.0004900447,0.001383959],"category_scores_gemma":[0.005261499,0.0001643648,0.0005010441,0.0006786279,0.0001809089,0.0004455319,0.0004300298,0.0007280046,0.0002164336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003621106,"about_ca_system_score_gemma":0.0002914201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484207,"about_ca_topic_score_gemma":0.003632561,"domain_scores_codex":[0.9994209,0.0001597292,0.00009371995,0.00006861814,0.0001457811,0.0001111861],"domain_scores_gemma":[0.9950748,0.0007046765,0.003139861,0.000148466,0.0003538519,0.0005783595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003534141,0.00002155864,0.999059,0.000003351942,0.00001500047,0.00006007272,0.00003200956,0.00001277735,0.00002208279,0.000002226279,0.00004501453,0.0006915403],"study_design_scores_gemma":[0.000002569081,0.00007374277,0.999212,0.000007630957,0.00001295619,0.000368891,0.0001119581,0.0001309486,0.00003143134,0.000006736274,0.00003889093,0.000002238187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993848,0.0002121892,0.00002705418,0.00005464375,0.000005402019,0.000004734742,0.0001143731,0.00000396804,0.0001928469],"genre_scores_gemma":[0.999702,0.00006068201,0.00002290035,0.00001515249,0.000008160087,0.000003738797,0.0001381117,9.108267e-7,0.00004835976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003484207,"threshold_uncertainty_score":0.006927907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05698788961819461,"score_gpt":0.3617276370343391,"score_spread":0.3047397474161445,"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."}}