{"id":"W3005220862","doi":"10.17269/s41997-019-00279-0","title":"Can local risk of West Nile virus infection be predicted from previous cases? A descriptive study in Quebec, 2011–2016","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Public Health Agency of Canada; Cegep de Saint Hyacinthe","funders":"","keywords":"Scan statistic; Geography; Christian ministry; Incidence (geometry); West Nile virus; Demography; Distribution (mathematics); Spatial distribution; Cartography; Socioeconomics; Medicine; Virology; Virus; Statistics; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007252216,0.0004351313,0.000449203,0.001293361,0.002395418,0.001373674,0.001639499,0.0008444368,0.003036628],"category_scores_gemma":[0.002031425,0.0005210469,0.0008078149,0.003718501,0.001019816,0.000829247,0.0008059192,0.001507633,0.000393629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01868773,"about_ca_system_score_gemma":0.01329357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879023,"about_ca_topic_score_gemma":0.9935251,"domain_scores_codex":[0.9992402,0.00009411318,0.00006637078,0.0001286907,0.0001396395,0.0003311252],"domain_scores_gemma":[0.9976802,0.0002173602,0.0006456257,0.00009031322,0.0008246138,0.0005420044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000589681,0.00006075963,0.9961337,0.00002591024,0.00005352654,0.0001246141,0.0006906273,0.00007358391,0.0001002852,0.00004459082,0.001048124,0.001585339],"study_design_scores_gemma":[0.000005299106,0.00002880784,0.9974729,0.00002863094,0.00001760182,0.00006197183,0.001545495,0.0001524218,0.00002069582,0.000008222089,0.0006490574,0.00000894246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910323,0.0007689817,0.0001616231,0.000444733,0.00002453482,0.00005898898,0.005715361,0.00001354443,0.001779849],"genre_scores_gemma":[0.996237,0.000398247,0.00008696204,0.0002100997,0.0000124586,0.00003930216,0.001555411,0.00000854543,0.001451941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01868773,"threshold_uncertainty_score":0.1355896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355571880505504,"score_gpt":0.281019754981902,"score_spread":0.2374640361768469,"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."}}