{"id":"W2335490234","doi":"10.1097/sla.0000000000000624","title":"Hospital Length of Stay After Admission for Traumatic Injury in Canada","year":2014,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; CARE Canada; University of Calgary; Institut National d'Excellence en Santé et en Services Sociaux; Université Laval; Hôpital de l'Enfant-Jésus; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Intensive care unit; Emergency medicine; Injury Severity Score; Trauma center; Retrospective cohort study; Acute care; Cohort; Propensity score matching; Injury prevention; Poison control; Index (typography); Major trauma; Medical emergency; Intensive care medicine; Health care; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003749963,0.0002532512,0.0002846194,0.001657132,0.001476484,0.000825678,0.001065552,0.0003186721,0.002455645],"category_scores_gemma":[0.003123513,0.0001538442,0.000431791,0.003714867,0.0003479991,0.0003543781,0.0007245947,0.0005846304,0.0001685524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03193317,"about_ca_system_score_gemma":0.02920873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853461,"about_ca_topic_score_gemma":0.987606,"domain_scores_codex":[0.9991886,0.00004215099,0.00008454792,0.0001065594,0.0003457639,0.0002323896],"domain_scores_gemma":[0.9977161,0.00007816105,0.0005552175,0.00003042313,0.001085763,0.000534375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004561752,0.00001633664,0.9936277,0.00004308054,0.00004618413,0.00006433985,0.0001742783,0.0001831645,0.00005291927,0.00007680267,0.002021173,0.003648449],"study_design_scores_gemma":[0.000004037723,0.00001016895,0.998638,0.00002712864,0.00001003399,0.00007324363,0.0002837693,0.0002454949,0.00002081456,0.00002083118,0.0006591452,0.000007306611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711029,0.001822189,0.000204404,0.0008993046,0.0000431565,0.00007269284,0.0203086,0.00004120827,0.005505537],"genre_scores_gemma":[0.9939213,0.0005835179,0.0001980815,0.0001080265,0.000008833295,0.00002094815,0.004399891,0.000005713373,0.0007536907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193317,"threshold_uncertainty_score":0.2316924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124833405782484,"score_gpt":0.3298441339883824,"score_spread":0.217360793410134,"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."}}