{"id":"W2115067567","doi":"10.1002/jwmg.178","title":"Targeted surveillance of raccoon rabies in Québec, Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Ministère des Ressources naturelles et des Forêts (Québec); Ministère des Ressources naturelles et des Forêts; Université de Montréal","funders":"U.S. Geological Survey; Ministère des Ressources Naturelles et de la Faune; Ministère de la Santé et des Services sociaux; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Rabies; Wildlife; Geography; Habitat; Population; Wildlife disease; Veterinary medicine; Disease surveillance; Ecology; Biology; Environmental health; Disease; Medicine; Virology","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":[0.0008677238,0.0001175584,0.0004802388,0.0001510526,0.00003549296,0.000001415719,0.0003029086,0.00008487031,0.0003576223],"category_scores_gemma":[0.0001490014,0.00009370742,0.00008933076,0.0001050639,0.0001021339,0.00006225584,0.00005470095,0.0002426487,0.000009625594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009335078,"about_ca_system_score_gemma":0.0001880536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2166725,"about_ca_topic_score_gemma":0.4323646,"domain_scores_codex":[0.9985452,0.0003047401,0.000759119,0.0001089479,0.0000483673,0.0002336696],"domain_scores_gemma":[0.998988,0.0001598344,0.0005773705,0.0001744312,0.00008047549,0.00001991016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002041735,0.0003511703,0.6513316,0.0001065864,0.001624118,0.0002551636,0.0007306117,0.0002791284,0.001973178,0.002067135,0.3304429,0.00879665],"study_design_scores_gemma":[0.002876645,0.0002462938,0.7949401,0.00007610869,0.00006161429,0.00005352544,0.0009364038,0.000004525397,0.001284,0.000332182,0.1990175,0.0001711139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749675,0.008736334,0.0002872086,0.005980701,0.001753334,0.000247143,0.000009813735,0.00001026589,0.008007711],"genre_scores_gemma":[0.9969255,0.0003898623,0.0001449784,0.001517423,0.00002158628,0.000003613348,0.000002336096,0.000006359533,0.0009883197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2156922,"threshold_uncertainty_score":0.7885438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198142971741761,"score_gpt":0.2010661550270117,"score_spread":0.1890847253095941,"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."}}