{"id":"W4403116319","doi":"10.1101/2024.10.03.616420","title":"Reducing spatial heterogeneity in coverage improves the effectiveness of dog vaccination campaigns against rabies","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institutes of Health; Wellcome Trust; Wellcome; U.S. Department of Health and Human Services","keywords":"Rabies; Vaccination; Spatial heterogeneity; Computer science; Geography; Virology; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003711841,0.0005373243,0.001007863,0.0002931044,0.0001754099,0.00004636587,0.0006149478,0.001136886,0.00002557597],"category_scores_gemma":[0.001119271,0.0004313146,0.0002927644,0.0002947189,0.0002576848,0.00007594492,0.0006793094,0.001723139,0.00006040566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634518,"about_ca_system_score_gemma":0.0004268174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004672816,"about_ca_topic_score_gemma":0.00004154123,"domain_scores_codex":[0.9950017,0.002596609,0.0008209671,0.0009532211,0.00007380913,0.0005537095],"domain_scores_gemma":[0.9970217,0.001143438,0.0004943666,0.001051811,0.0002538858,0.00003479119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003294446,0.0001154306,0.01533471,0.0008926943,0.0005541701,0.00001364138,0.00003040645,0.0007639212,0.9810753,0.0008002889,0.00005244016,0.00003750112],"study_design_scores_gemma":[0.0008877666,0.00007435562,0.4020452,0.0006165622,0.0001494677,5.482152e-8,0.00000546534,0.0001555705,0.5953464,0.00005820592,0.0002717318,0.0003891798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852159,0.008880387,0.0006071742,0.0001420892,0.003459883,0.001251847,0.0002562729,0.0001579372,0.00002848176],"genre_scores_gemma":[0.9987318,0.0004932675,0.00003085478,0.0001000964,0.0001392935,0.0004309042,0.000003148322,0.00006511402,0.00000555261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3867106,"threshold_uncertainty_score":0.9998139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062517695393924,"score_gpt":0.2331248900231562,"score_spread":0.2240623723277623,"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."}}