{"id":"W1486091485","doi":"10.1007/bf03405345","title":"Modelling Geographic Variations in West Nile Virus","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Alberta; Alberta Health Services","funders":"","keywords":"West Nile virus; Geography; Spatial analysis; Generalized linear mixed model; Incidence (geometry); Spatial variability; Geographic variation; Spatial epidemiology; Ecology; Cartography; Demography; Virology; Biology; Virus; Statistics; Epidemiology; Population; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001075095,0.0005504261,0.0005327277,0.0006545525,0.0005382316,0.001217701,0.001386813,0.001623924,0.001527161],"category_scores_gemma":[0.006714903,0.000691188,0.000623975,0.0009111297,0.0007796387,0.001237861,0.0006670967,0.001003578,0.0001370305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507844,"about_ca_system_score_gemma":0.001045622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1731486,"about_ca_topic_score_gemma":0.0908528,"domain_scores_codex":[0.9996905,0.0001138901,0.00001575465,0.00008360735,0.00002291132,0.00007341046],"domain_scores_gemma":[0.9968793,0.002319002,0.0002594719,0.00009976152,0.0002809094,0.0001615251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002860044,0.00001923381,0.005086767,0.000004941324,0.0000147459,0.00003797948,0.00002034309,0.9934208,0.0001313196,0.0005057104,0.000117464,0.0006122155],"study_design_scores_gemma":[0.000007522547,0.000009256783,0.001219171,9.856356e-7,0.000004762695,0.000005694857,0.00003485604,0.9983171,0.0000469566,0.0002856073,0.00006401377,0.000004022933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899244,0.0001201815,0.007445118,0.0004032421,0.00005042872,0.00002045235,0.0003537194,0.00007905796,0.001603537],"genre_scores_gemma":[0.9975203,0.00004308201,0.001480264,0.00002142097,0.000009176637,0.000008927282,0.0001578418,0.00001332247,0.0007455717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1731486,"threshold_uncertainty_score":0.3442815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221911688654396,"score_gpt":0.2697622848532965,"score_spread":0.2375431679667525,"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."}}