{"id":"W2167504482","doi":"10.1111/j.1865-1682.2012.01351.x","title":"Bioeconomic Modelling of Raccoon Rabies Spread Management Impacts in Quebec, Canada","year":2012,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Cegep de Saint Hyacinthe; Public Health Agency of Canada; Université de Montréal","funders":"Public Health Agency","keywords":"Rabies; Cost–benefit analysis; Economic impact analysis; Geography; Veterinary medicine; Biology; Ecology; Medicine; Virology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001742413,0.0001659318,0.0003538121,0.0000946425,0.0001397773,0.000006598168,0.0001048303,0.00008314403,0.0002003618],"category_scores_gemma":[0.00001013626,0.0001536724,0.00006421021,0.00005624121,0.0002278384,0.0002289888,0.00001966305,0.0001243028,0.000007576727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004590234,"about_ca_system_score_gemma":0.0001032618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3780412,"about_ca_topic_score_gemma":0.3366686,"domain_scores_codex":[0.9988706,0.0001394632,0.0003459605,0.000184737,0.00002046188,0.0004387735],"domain_scores_gemma":[0.999553,0.0001560835,0.00007546593,0.000152921,0.000009757951,0.00005272109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002594634,0.0006118757,0.9283062,0.0009835261,0.001378253,0.00002571219,0.003049936,0.01061209,0.004176836,0.01139848,0.005410707,0.03145174],"study_design_scores_gemma":[0.006430964,0.0001152233,0.9196805,0.0004029808,0.0007131067,0.0000215023,0.003739836,0.0005710177,0.003182669,0.001610394,0.06247219,0.001059597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557432,0.04233217,0.0003434628,0.000502802,0.0004263734,0.0001596183,0.00005774001,0.00002177805,0.0004128829],"genre_scores_gemma":[0.9980101,0.001172388,0.00001979571,0.0002010481,0.00002578786,0.00001900751,0.00006180673,0.000009487491,0.0004806036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05706148,"threshold_uncertainty_score":0.6754355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132768384670655,"score_gpt":0.2181513118323991,"score_spread":0.2068236279856925,"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."}}