{"id":"W3005792306","doi":"10.1016/j.ajic.2020.01.003","title":"Correlating incidence densities and point-prevalence for the surveillance of catheter-associated urinary tract infections","year":2020,"lang":"en","type":"article","venue":"American Journal of Infection Control","topic":"Urinary Tract Infections Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Medicine; Incidence (geometry); Urinary system; Catheter; Prevalence; Point of care; Proxy (statistics); Gold standard (test); Intensive care medicine; Epidemiology; Internal medicine; Surgery; Pathology; Statistics","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":[0.0006828998,0.0001306556,0.0004261568,0.0001329964,0.0001682391,0.00002074975,0.00005558095,0.00003045348,0.0000245352],"category_scores_gemma":[0.002133328,0.00009869262,0.0002172273,0.0003506726,0.0002466517,0.0002218287,0.00002118288,0.0003093294,0.000001692649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008735411,"about_ca_system_score_gemma":0.0000879036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001447635,"about_ca_topic_score_gemma":0.00001051143,"domain_scores_codex":[0.99882,0.0001625616,0.0005391696,0.0001250421,0.0002017133,0.0001514953],"domain_scores_gemma":[0.9964363,0.001773411,0.001042974,0.0001230333,0.0005197733,0.0001045017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005772891,0.002781665,0.9835976,0.0001149316,0.0006238808,0.00002087847,0.0007382212,0.002736515,0.0005185151,0.00004849784,0.0002428214,0.007999142],"study_design_scores_gemma":[0.002591967,0.06081362,0.9176373,0.0002562318,0.0007434405,0.001909719,0.000525448,0.0141081,0.00008074389,0.0000301837,0.001143452,0.0001597339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540104,0.0004226908,0.04112707,0.003657086,0.0002247581,0.0004300224,0.00001127246,0.00003142456,0.00008533525],"genre_scores_gemma":[0.9983222,0.0005588065,0.0002055527,0.0006915125,0.0001633028,0.00001857879,7.110743e-7,0.00001571861,0.00002364363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06596029,"threshold_uncertainty_score":0.4024568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319159161111699,"score_gpt":0.2628092883752569,"score_spread":0.2496176967641399,"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."}}