{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002142169,0.0001681614,0.0003680775,0.0001657472,0.000409132,0.00005132814,0.0005362379,0.0003524433,0.00005049415],"category_scores_gemma":[0.001201284,0.0001254173,0.00009908034,0.0003813757,0.0002045359,0.0001291118,0.0002164897,0.0008768754,0.0001424751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003483198,"about_ca_system_score_gemma":0.0001551608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008313284,"about_ca_topic_score_gemma":0.0003190283,"domain_scores_codex":[0.9968768,0.00157164,0.0004135976,0.0004431496,0.00008300629,0.0006117991],"domain_scores_gemma":[0.9982395,0.0009767065,0.00003117529,0.0006005949,0.0001290954,0.00002298439],"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":[0.001028257,0.001026241,0.01425127,0.0001705191,0.0006934743,0.0001245982,0.03839512,0.4103318,0.2251423,0.1993184,0.1041178,0.005400147],"study_design_scores_gemma":[0.01604511,0.001072597,0.01923243,0.001063559,0.0005823098,0.001673623,0.1712294,0.2636572,0.1294809,0.2395518,0.151371,0.005040081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728808,0.01078882,0.005415451,0.002762088,0.0003191991,0.0004434937,0.00002186749,0.00006230026,0.007305957],"genre_scores_gemma":[0.9936919,0.0002202945,0.0004021895,0.003894529,0.00007037476,0.0002510769,0.00002060943,0.00001417665,0.001434881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466746,"threshold_uncertainty_score":0.5114369,"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."}}