{"id":"W2073395463","doi":"10.1186/1476-072x-7-35","title":"The geosimulation of West Nile virus propagation: a multi-agent and climate sensitive tool for risk management in public health","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec; Université Laval","funders":"Ministère de la Santé; Ministère de la Santé et des Services sociaux; Université de Sherbrooke; Université du Québec à Trois-Rivières; Institut National de Santé Publique du Québec; Université Laval","keywords":"Context (archaeology); Health geography; Geography; Population; West Nile virus; Computer science; Public health; Geographic information system; Operations research; Environmental resource management; Cartography; Engineering; Environmental health; Biology; Environmental science; International health; Health policy; Virology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00181249,0.00009484938,0.0002703196,0.0003113337,0.0002091858,0.00002436588,0.00009677269,0.00003099558,0.000003473604],"category_scores_gemma":[0.0001471034,0.00006900015,0.0001379122,0.0001278459,0.00008030557,0.0001073837,0.00003197856,0.0001658527,3.943889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209821,"about_ca_system_score_gemma":0.0003132426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001755121,"about_ca_topic_score_gemma":0.0002549445,"domain_scores_codex":[0.9980572,0.0001548564,0.0009246446,0.0001258212,0.000500344,0.0002371411],"domain_scores_gemma":[0.9978561,0.000178263,0.001051408,0.0001020385,0.000682125,0.000130009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002392806,0.001272003,0.6696798,0.0004015831,0.0007944573,0.00009788164,0.001618519,0.0006391142,0.00001724644,0.005921477,0.0003669062,0.3167982],"study_design_scores_gemma":[0.005058373,0.0006496646,0.9754349,0.0002111326,0.00003612103,0.0001238254,0.0004372876,0.01182066,0.000005696429,0.000137466,0.006022254,0.00006262395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534265,0.005239014,0.01670788,0.02223022,0.0005713115,0.001622349,0.0001640165,0.00001065645,0.00002805058],"genre_scores_gemma":[0.9729364,0.02403886,0.001600827,0.001241907,0.000115901,0.00002157756,0.0000260538,0.000009387865,0.000009112965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167356,"threshold_uncertainty_score":0.2813745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746678984419374,"score_gpt":0.3413233922247904,"score_spread":0.3038566023805967,"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."}}