{"id":"W4283646612","doi":"10.1007/s00477-022-02257-4","title":"Bayesian time-varying occupancy model for West Nile virus in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; University of Washington","keywords":"Occupancy; Akaike information criterion; West Nile virus; Covariate; Minnow; Sampling (signal processing); Statistics; Bayesian probability; Gibbs sampling; Bayesian inference; Culex pipiens; Environmental science; Ecology; Geography; Biology; Mathematics; Computer science; Fishery; Virology; Virus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002402205,0.0007457202,0.00120616,0.001180487,0.001491066,0.001491139,0.003588279,0.001082885,0.004869159],"category_scores_gemma":[0.005646656,0.0008367443,0.0009091526,0.001278807,0.001897476,0.0009342551,0.001044483,0.001188719,0.0004260308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561973,"about_ca_system_score_gemma":0.01139307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9539679,"about_ca_topic_score_gemma":0.9235685,"domain_scores_codex":[0.9988934,0.0002648663,0.00004768251,0.000330041,0.0001407046,0.0003232457],"domain_scores_gemma":[0.9977634,0.0009022386,0.0003470719,0.0001194346,0.0006580065,0.0002099184],"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":[0.0004117806,0.0001402391,0.1635208,0.0001385439,0.0002508138,0.0004642566,0.001037351,0.7598669,0.001061738,0.04422485,0.009019297,0.01986345],"study_design_scores_gemma":[0.00007640268,0.00003610925,0.03163416,0.00005101995,0.00007618622,0.00006253152,0.0002801536,0.9570934,0.0001113079,0.006527011,0.003993803,0.00005786282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752587,0.001496082,0.09766962,0.002738342,0.0001365358,0.0003570426,0.01283543,0.0004382604,0.009069913],"genre_scores_gemma":[0.9828651,0.0003591613,0.005269604,0.0001076552,0.00003853575,0.0001206652,0.002546657,0.00004662132,0.008645913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04603207,"threshold_uncertainty_score":0.1133296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449572859924242,"score_gpt":0.4144834770768956,"score_spread":0.2695261910844714,"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."}}