{"id":"W1998786732","doi":"10.1016/s0001-706x(01)00082-1","title":"Dog ecology and demography information to support the planning of rabies control in Machakos District, Kenya","year":2001,"lang":"en","type":"article","venue":"Acta Tropica","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":271,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Demography; Rabies; Population; Geography; Veterinary medicine; Medicine","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":[0.0004292291,0.0001542974,0.0001412433,0.001500279,0.0004240559,0.0003556739,0.0002660902,0.0002180455,0.003544611],"category_scores_gemma":[0.001794019,0.0001569493,0.00007971755,0.0007469071,0.0001217279,0.0004139675,0.0002871351,0.0001916126,0.0003302818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007636197,"about_ca_system_score_gemma":0.00200445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06452953,"about_ca_topic_score_gemma":0.1630629,"domain_scores_codex":[0.9997938,0.0001174506,0.00001675009,0.00001103934,0.00002400038,0.00003693473],"domain_scores_gemma":[0.9995829,0.0001055086,0.0001075499,0.00001739453,0.0001179248,0.00006853717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002224616,0.0003351283,0.8710344,0.0006389641,0.00004467148,0.001117572,0.001866429,0.004427193,0.005346184,0.001358306,0.01055962,0.103049],"study_design_scores_gemma":[0.00004933457,0.000203125,0.9733747,0.0002812285,0.00004794684,0.0004760964,0.004726167,0.004719189,0.001154629,0.0003928326,0.01455775,0.00001703269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687698,0.001252207,0.001693105,0.002822767,0.00002309489,0.0004758675,0.004639205,0.00006541784,0.02025846],"genre_scores_gemma":[0.9918201,0.0007552683,0.004329434,0.00007250077,0.00001000333,0.00009505566,0.001328026,0.000003578554,0.001586019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06452953,"threshold_uncertainty_score":0.1283079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008140718616050983,"score_gpt":0.2366731956671979,"score_spread":0.2285324770511469,"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."}}