{"id":"W2331709790","doi":"10.1097/ta.0000000000000351","title":"Urinary tract infection in elderly trauma patients","year":2014,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre","funders":"National Center for Advancing Translational Sciences","keywords":"Medicine; Genitourinary system; Urinary system; Population; Logistic regression; Emergency medicine; Reimbursement; Medicaid; Internal medicine; Intensive care medicine; Pediatrics; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008058214,0.0002248617,0.0003767523,0.000450036,0.0002660406,0.0000508356,0.00007614387,0.0001433881,0.0001008786],"category_scores_gemma":[0.000427813,0.0001653618,0.0001818141,0.00034369,0.0001862026,0.00042988,0.00002956562,0.0007606881,0.00001182628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106065,"about_ca_system_score_gemma":0.0000369087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092874,"about_ca_topic_score_gemma":0.00008553369,"domain_scores_codex":[0.9981281,0.0003330122,0.000664662,0.0001747066,0.0004035966,0.0002959406],"domain_scores_gemma":[0.9985753,0.0002814607,0.0001548219,0.0002377242,0.0005564241,0.0001942673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009525998,0.007420207,0.9131868,0.0006396757,0.00009137709,0.00003507816,0.001536698,0.00005637109,0.00004870999,0.0008953286,0.0009715288,0.07416562],"study_design_scores_gemma":[0.002042994,0.02468068,0.9614074,0.0001937193,0.0004479835,0.001008431,0.0002812794,0.00003234017,0.0002258989,0.0008754252,0.008630089,0.0001738123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927963,0.000237345,0.0007347694,0.0007512698,0.0007797701,0.0002873336,0.000003987082,0.00003992861,0.004369305],"genre_scores_gemma":[0.9988552,0.0003157039,0.00006333651,0.0002378033,0.0004492078,0.000008407147,0.000005206095,0.00002693024,0.00003826043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07399181,"threshold_uncertainty_score":0.6743259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493032584101488,"score_gpt":0.3029034293040965,"score_spread":0.2879731034630816,"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."}}