{"id":"W4200222279","doi":"10.2217/fmb-2021-0004","title":"A Longitudinal Population-Based Study of Predictors of Mortality from Bloodstream Infections in Calgary, Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Future Microbiology","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Medicine; Incidence (geometry); Bloodstream infection; Comorbidity; Mortality rate; Population; Cohort; Cohort study; Demography; Survival analysis; Hazard ratio; Proportional hazards model; Epidemiology; Internal medicine; Environmental health; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000268836,0.0001236918,0.0004027856,0.00008014523,0.00003102441,0.00000152411,0.00003206509,0.0001108587,0.0003430669],"category_scores_gemma":[0.00005099893,0.0001057135,0.00006899592,0.0002918379,0.00002498763,0.00001306619,0.00002118628,0.0001274853,7.793581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265756,"about_ca_system_score_gemma":0.0004552931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9455347,"about_ca_topic_score_gemma":0.9890682,"domain_scores_codex":[0.999112,0.00009198627,0.0003674316,0.0002500083,0.0000477029,0.0001309378],"domain_scores_gemma":[0.999315,0.0001273285,0.0001159768,0.0002821512,0.0001110959,0.00004846391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002683427,0.002477182,0.9932615,0.00001882995,0.000438259,0.00004718446,0.00007592401,0.00005891549,0.003395677,0.000007323332,0.0001179297,0.00007446011],"study_design_scores_gemma":[0.002447727,0.0004286317,0.9928452,0.00003255293,0.0002775695,0.00002102683,0.0002242765,0.000009021863,0.003401973,0.000004536839,0.0002434604,0.00006402316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986272,0.00009358318,0.000006181731,0.0000739989,0.0005246189,0.0003662354,0.000186678,0.000007552714,0.0001139835],"genre_scores_gemma":[0.9987432,0.000002265637,0.00005271624,0.0000317655,0.00009462798,0.00003058132,0.0009894938,0.000007561172,0.00004772415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04353349,"threshold_uncertainty_score":0.4310872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023945187419217,"score_gpt":0.2604549714560155,"score_spread":0.2502155195818233,"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."}}