{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879054,0.0001761895,0.0002753242,0.0005744625,0.0003584616,0.0004045575,0.0001510018,0.0002249998,0.002513991],"category_scores_gemma":[0.001608796,0.0001042596,0.0002867234,0.0009790083,0.0001725126,0.0002855716,0.0003984405,0.0003185694,0.0001675941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003243938,"about_ca_system_score_gemma":0.0003993186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881212,"about_ca_topic_score_gemma":0.00204095,"domain_scores_codex":[0.9997579,0.00005157465,0.00004532146,0.0000354675,0.00005657538,0.00005305553],"domain_scores_gemma":[0.999235,0.0001030812,0.0004541284,0.0000172962,0.00006064643,0.0001298695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003154076,0.00002172686,0.9961882,0.00003528341,0.00002256863,0.0004206109,0.00004936561,0.00005458618,0.00007323537,0.00002236763,0.0003174332,0.002763053],"study_design_scores_gemma":[0.000006684603,0.0001245837,0.9961166,0.00004729398,0.00002328352,0.002596215,0.0003564516,0.0002223227,0.00004397212,0.00006140624,0.0003976283,0.000003387647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977659,0.0007224614,0.00009299117,0.0001920086,0.00001027335,0.00001698436,0.0004891224,0.000003834,0.0007065667],"genre_scores_gemma":[0.9989964,0.0004472383,0.00008195284,0.00008421535,0.00002587128,0.00001047628,0.0002825488,6.334305e-7,0.00007061449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002513991,"threshold_uncertainty_score":0.008410156,"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."}}