{"id":"W3130724455","doi":"10.3390/v13020323","title":"Modeling Mongoose Rabies in the Caribbean: A Model-Guided Fieldwork Approach to Identify Research Priorities","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rabies; Mongoose; Biological dispersal; Context (archaeology); Geography; Transmission (telecommunications); Ecology; Epidemiology; Spatial epidemiology; Biology; Demography; Population; Medicine; Virology; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001622279,0.0004678208,0.0006783764,0.0005305507,0.0005097485,0.0009989766,0.001189817,0.000898416,0.001465485],"category_scores_gemma":[0.004956889,0.0003910935,0.0003633726,0.0004109964,0.0004665582,0.0006388847,0.0007512008,0.0006472579,0.00005418593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846407,"about_ca_system_score_gemma":0.003542872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1514524,"about_ca_topic_score_gemma":0.1468905,"domain_scores_codex":[0.9996775,0.0002090028,0.000009915719,0.00004293519,0.00001173159,0.00004899309],"domain_scores_gemma":[0.9985198,0.001127454,0.0001316122,0.00004575001,0.0001118248,0.00006357457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003159617,0.00004103141,0.008906335,0.00005478318,0.00003666541,0.00007412241,0.0001291727,0.9814777,0.0002707978,0.005033659,0.000183899,0.003760397],"study_design_scores_gemma":[0.00002459135,0.00003777636,0.001338993,0.00002017465,0.00002010595,0.000009142994,0.0002727461,0.9936813,0.00007980767,0.004016684,0.000490024,0.00000866145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298034,0.0005683784,0.1595108,0.001617983,0.00002263382,0.000303808,0.0008390728,0.0001409295,0.007192998],"genre_scores_gemma":[0.9649177,0.0002921843,0.03313354,0.0000699862,0.000008107466,0.0002679575,0.0002154637,0.00001424992,0.001080867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1514524,"threshold_uncertainty_score":0.3011417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292759980053888,"score_gpt":0.4177023430713261,"score_spread":0.1884263450659373,"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."}}