{"id":"W2909786283","doi":"10.1089/vbz.2018.2366","title":"Influence of Demography, Land Use, and Urban Form on West Nile Virus Risk and Human West Nile Virus Incidence in Ottawa, Canada","year":2019,"lang":"en","type":"article","venue":"Vector-Borne and Zoonotic Diseases","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; University of Ottawa","funders":"Natural Resources Canada; Canadian Institutes of Health Research","keywords":"Geography; Epidemiology; West Nile virus; Population; Culex; Environmental health; Demography; Transmission (telecommunications); Biology; Virology; Ecology; Virus; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001102301,0.0003204687,0.0006044658,0.0001888417,0.0001232595,0.00007249114,0.0001151457,0.00008598001,0.0001163026],"category_scores_gemma":[0.0002029742,0.0002741902,0.00007561663,0.000258227,0.000185509,0.000277817,0.00008278801,0.0001901442,0.000004268741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005094536,"about_ca_system_score_gemma":0.0003095531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4228941,"about_ca_topic_score_gemma":0.4236437,"domain_scores_codex":[0.998208,0.00006770303,0.0004308642,0.0005560009,0.0003375798,0.0003997908],"domain_scores_gemma":[0.9984604,0.0003220158,0.0001905522,0.0004378126,0.00009398167,0.0004952216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003852127,0.0002571458,0.9962882,0.0003080755,0.00007136934,0.0000743381,0.00007573715,0.00005598876,0.0007239968,0.000543653,0.0005235627,0.0006927099],"study_design_scores_gemma":[0.002608581,0.0006681359,0.9942946,0.0004049677,0.0003664208,0.000007968922,0.00009543471,0.0001773684,0.0001828338,0.00008460371,0.0008109797,0.0002981314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943119,0.004029274,0.000001087718,0.0001174943,0.00005457233,0.0006432369,0.0006853134,0.00002794295,0.0001291255],"genre_scores_gemma":[0.9988672,0.0003877016,0.000008922053,0.0004577955,0.00007218427,0.00003986893,0.00004963521,0.00002965072,0.00008711112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004555178,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005593128815668405,"score_gpt":0.218456563972187,"score_spread":0.2128634351565186,"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."}}