{"id":"W4364375603","doi":"10.1101/2023.04.10.23288318","title":"Optimizing rabies vaccination of dogs in India","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rabies; Vaccination; Medicine; Rabies vaccine; Population; Cost benefit; Virology; Environmental health; Rabies virus; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004391232,0.0002960245,0.0004805608,0.0004365797,0.0001356629,0.0006346642,0.0004454362,0.0002141763,0.001817899],"category_scores_gemma":[0.0008725949,0.0002018438,0.000376811,0.000488984,0.0002403141,0.0002888413,0.0004023692,0.0002602492,0.0002332512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724319,"about_ca_system_score_gemma":0.001280556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03192299,"about_ca_topic_score_gemma":0.02897928,"domain_scores_codex":[0.99971,0.0000815415,0.000007634964,0.00003987622,0.00004599083,0.0001148848],"domain_scores_gemma":[0.9997496,0.0001260536,0.00003861158,0.00001885362,0.00004354618,0.00002337499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008646328,0.0002847447,0.03986383,0.0004873631,0.0001282899,0.0002229717,0.0001261779,0.8591362,0.02163,0.004932738,0.003757198,0.06856588],"study_design_scores_gemma":[0.0002017453,0.00208419,0.08123755,0.00007671289,0.0004560537,0.000360096,0.0009476063,0.8600267,0.03702204,0.006536002,0.01097739,0.00007375282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743838,0.0007915735,0.01082111,0.0004898179,0.00001700082,0.0000780351,0.0005502068,0.0002403527,0.0126282],"genre_scores_gemma":[0.9943113,0.0002281075,0.003857049,0.00005597114,0.000003178965,0.00001962102,0.0002238711,0.00001764717,0.001283164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03192299,"threshold_uncertainty_score":0.06347436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02867404367549082,"score_gpt":0.2818626371515341,"score_spread":0.2531885934760433,"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."}}