{"id":"W1793774538","doi":"10.1186/s12913-015-0949-2","title":"Impact of socio-economic status on hospital length of stay following injury: a multicenter cohort study","year":2015,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux; Centre hospitalier universitaire de Québec; University of Calgary; Université Laval; Hôpital de l'Enfant-Jésus","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Medicine; Public health; Health administration; Social deprivation; Retrospective cohort study; Cohort; Health informatics; Emergency medicine; Injury Severity Score; Injury prevention; Cohort study; Nursing research; Health care; Trauma center; Demography; Poison control; Surgery; Internal medicine; Nursing","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":[0.001958406,0.0005030106,0.0004632112,0.001118228,0.001083702,0.001080575,0.000848939,0.0006541851,0.001109933],"category_scores_gemma":[0.003427134,0.0003976729,0.00103271,0.001748398,0.0004342412,0.0007460546,0.0009197938,0.0008502124,0.0001824651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140743,"about_ca_system_score_gemma":0.001392912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06019605,"about_ca_topic_score_gemma":0.07562359,"domain_scores_codex":[0.9988688,0.0002772178,0.0001082619,0.0002535075,0.0002077846,0.0002844871],"domain_scores_gemma":[0.997833,0.0001990217,0.0007749175,0.0002416422,0.0003507822,0.0006006624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009009503,0.00004451274,0.9993272,0.000003097009,0.00007324862,0.00003946481,0.00009036712,0.000009488062,0.00003965733,0.000006509952,0.00006105013,0.0002153905],"study_design_scores_gemma":[0.00001118867,0.000106749,0.9993296,0.000005507672,0.00003865772,0.00007856298,0.0002554492,0.00008935644,0.00001221336,0.000006904361,0.00006133149,0.00000452635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994049,0.0000731519,0.0000314995,0.00003646435,0.000004037473,0.00001807352,0.0003172547,0.000001137557,0.0001135254],"genre_scores_gemma":[0.9993418,0.00006203443,0.0000654797,0.00003037101,0.000007945148,0.00002034026,0.0004149364,0.000001492906,0.00005553926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06019605,"threshold_uncertainty_score":0.1196913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0754734950526589,"score_gpt":0.4863519270159388,"score_spread":0.4108784319632799,"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."}}