{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004148062,0.000371347,0.0001820857,0.0007420902,0.0007216377,0.0004786211,0.0009708974,0.0002195978,0.001891374],"category_scores_gemma":[0.000926225,0.0001349458,0.0002520084,0.0009631384,0.0002619484,0.0002010421,0.0003094976,0.0002364659,0.0001942422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02374156,"about_ca_system_score_gemma":0.01723786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964197,"about_ca_topic_score_gemma":0.9982902,"domain_scores_codex":[0.9996821,0.00006701077,0.00001036441,0.00006669728,0.00009800443,0.00007596604],"domain_scores_gemma":[0.998309,0.0001247441,0.0002286039,0.00003364734,0.001080029,0.0002239487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002819158,0.0002168533,0.9107774,0.0002358759,0.0002208935,0.0003820921,0.0009162925,0.01716376,0.004572964,0.0009350677,0.01373243,0.05056442],"study_design_scores_gemma":[0.00004945586,0.0001650091,0.9597508,0.0001079301,0.00006894008,0.00007868626,0.0009378528,0.02936119,0.0009123863,0.00009664362,0.00844066,0.00003045676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973181,0.001278992,0.002827508,0.0007126407,0.00002036523,0.0003191856,0.011833,0.0001888686,0.009638378],"genre_scores_gemma":[0.992622,0.0003994037,0.001840252,0.0001520254,0.000003516543,0.00006505726,0.002062927,0.000009301367,0.002845366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374156,"threshold_uncertainty_score":0.1722578,"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."}}