{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513866,0.000465607,0.0004258895,0.001294718,0.002014159,0.001642482,0.001455238,0.0003116044,0.00231184],"category_scores_gemma":[0.002377704,0.0002738961,0.0007767366,0.002546861,0.001138124,0.0004404049,0.0009935858,0.0006162607,0.0002099964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02533643,"about_ca_system_score_gemma":0.02401048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956784,"about_ca_topic_score_gemma":0.9978147,"domain_scores_codex":[0.9993406,0.0001005514,0.0000620042,0.0001182868,0.0001526765,0.0002258374],"domain_scores_gemma":[0.9970107,0.0003185903,0.0004896623,0.0001257245,0.001047123,0.001008167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007225265,0.00001586911,0.9963102,0.00002372757,0.00005615752,0.00005672874,0.0004103501,0.0002583228,0.00009180092,0.00008405291,0.0005324993,0.002088153],"study_design_scores_gemma":[0.000004175404,0.00001614341,0.9974595,0.00003003393,0.00003171502,0.00004183354,0.001276726,0.0004415263,0.00003388794,0.0000222255,0.0006282084,0.00001416434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918507,0.001188375,0.0001136609,0.0004471,0.00002278521,0.00003780528,0.004193368,0.00001624154,0.002129934],"genre_scores_gemma":[0.9970952,0.0005078014,0.0001528568,0.00004325468,0.000004797284,0.0000109415,0.00119399,0.000005783963,0.0009853648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02533643,"threshold_uncertainty_score":0.1838295,"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."}}