{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002717196,0.00008740433,0.0004355536,0.00009771052,0.00001091185,6.983249e-7,0.00002926963,0.0000299868,0.00006865113],"category_scores_gemma":[0.0003694606,0.00007091405,0.0001305778,0.0001036585,0.0000253991,0.00003828162,0.00001103048,0.00004483194,5.428472e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001629466,"about_ca_system_score_gemma":0.0003115122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1301764,"about_ca_topic_score_gemma":0.07623313,"domain_scores_codex":[0.9991032,0.00001986291,0.0004044349,0.0001066989,0.0001772779,0.0001884601],"domain_scores_gemma":[0.9993368,0.0002154748,0.0000929908,0.0001375158,0.0001472455,0.00006996323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006379047,0.0002122986,0.7962753,0.001299481,0.0001348546,0.000008552797,0.0008525095,0.000001817417,0.000335118,0.0000300678,0.07792554,0.1222866],"study_design_scores_gemma":[0.0002002893,0.0001720469,0.9837565,0.0004197289,0.0000228775,4.399076e-7,0.0005136408,0.00001823988,0.008310875,0.0001073582,0.006378122,0.00009986151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970745,0.0006653186,0.000008182176,0.001291929,0.0002950737,0.0001404306,0.00003798805,0.000004690829,0.0004818591],"genre_scores_gemma":[0.9993213,0.0002762267,0.00004056138,0.0002216414,0.00004798991,0.00002422598,0.000007610414,0.00001050354,0.00004993958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1874812,"threshold_uncertainty_score":0.9406232,"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."}}