{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005819372,0.0004435682,0.0003223956,0.0009312144,0.002034399,0.0009185746,0.001091288,0.0005560706,0.001474356],"category_scores_gemma":[0.001275409,0.0003835871,0.0003519138,0.002020847,0.0005351668,0.0003547191,0.0006213869,0.0008971671,0.0002843533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01367672,"about_ca_system_score_gemma":0.01617207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983805,"about_ca_topic_score_gemma":0.9880103,"domain_scores_codex":[0.9994795,0.00004906951,0.00002363629,0.00007537389,0.0001884981,0.0001840074],"domain_scores_gemma":[0.9988419,0.00005355538,0.0001698967,0.00004430313,0.0005270837,0.0003631383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004430897,0.00003290811,0.9980319,0.000006179725,0.00002635399,0.00006672207,0.0001413894,0.00004826644,0.00007774532,0.0000226821,0.000537161,0.0009644786],"study_design_scores_gemma":[0.000007842846,0.00002456296,0.9988927,0.00001380272,0.00001386134,0.00004858779,0.0005112259,0.0001802897,0.00001612735,0.00001266184,0.0002743945,0.000003962284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945332,0.0005373137,0.0001317326,0.0003266441,0.00002054602,0.00004297239,0.003292171,0.00001037833,0.001105035],"genre_scores_gemma":[0.9960542,0.0004263809,0.0002157795,0.0001341221,0.0000109361,0.00002170063,0.002022646,0.000003587797,0.00111071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016195,"threshold_uncertainty_score":0.09923208,"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."}}