{"id":"W2109109830","doi":"10.1186/s12879-015-1106-6","title":"Area-level global and local clustering of human Salmonella Enteritidis infection rates in the city of Toronto, Canada, 2007–2009","year":2015,"lang":"en","type":"article","venue":"BMC Infectious Diseases","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"Ontario Ministry of Health and Long-Term Care; University of Guelph","keywords":"Salmonella enteritidis; Geography; Cluster analysis; Population; Incidence (geometry); Spatial analysis; Demography; Veterinary medicine; Cartography; Environmental health; Statistics; Medicine; Salmonella; Biology; Mathematics; Remote sensing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005098964,0.000401355,0.0003667222,0.001766731,0.001296006,0.0009617781,0.0009890924,0.0002678196,0.001878304],"category_scores_gemma":[0.00183327,0.000247325,0.0005748743,0.004460888,0.0007099677,0.0002754645,0.0008733764,0.0002987261,0.0002445875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02615184,"about_ca_system_score_gemma":0.01991186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991193,"about_ca_topic_score_gemma":0.9951626,"domain_scores_codex":[0.9992527,0.00006338577,0.00006262567,0.0001775549,0.0002454138,0.0001982696],"domain_scores_gemma":[0.9972739,0.0001111601,0.0005876434,0.0001026574,0.001478447,0.0004462864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006662835,0.000007101393,0.9930826,0.00007601806,0.00009228833,0.00007504219,0.0007759571,0.0005414817,0.0002116492,0.00008713319,0.002107606,0.002876351],"study_design_scores_gemma":[0.000001694679,0.000007324669,0.9984906,0.00001307303,0.00001880371,0.0000335512,0.0006482262,0.0002611156,0.00003233485,0.000005997659,0.0004816149,0.000005661107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782999,0.001102758,0.0003966092,0.0003189717,0.00001569716,0.00006574079,0.01742748,0.00004071825,0.002332078],"genre_scores_gemma":[0.9943292,0.0003193599,0.0002995283,0.00003325234,0.000006461906,0.00002209244,0.004078205,0.000006440963,0.0009053926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02615184,"threshold_uncertainty_score":0.1897458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085508292263916,"score_gpt":0.2728088150100931,"score_spread":0.221953732087454,"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."}}