{"id":"W4409119069","doi":"10.2196/69048","title":"Balancing Human Mobility and Health Care Coverage in Sentinel Surveillance of Brazilian Indigenous Areas: Mathematical Optimization Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal do Rio de Janeiro; Fundação Oswaldo Cruz","keywords":"Indigenous; Geography; Population; Environmental health; Medicine; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002435354,0.001392635,0.001151691,0.001097258,0.0005002524,0.00137588,0.001343888,0.00145662,0.002588284],"category_scores_gemma":[0.006273965,0.0008082557,0.001502397,0.0008598566,0.0008620051,0.001044717,0.001452657,0.001074048,0.0001912376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002935474,"about_ca_system_score_gemma":0.002510039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02615165,"about_ca_topic_score_gemma":0.0134475,"domain_scores_codex":[0.9991503,0.0004423253,0.00002646924,0.0001465169,0.00007580082,0.0001587061],"domain_scores_gemma":[0.9963636,0.002903256,0.0003241186,0.00004859218,0.0002519794,0.0001084862],"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":[0.00001467732,0.00001846147,0.00118623,0.00003102232,0.00002282914,0.0000366795,0.00002356073,0.9932278,0.0001073861,0.003053362,0.0003455337,0.001932403],"study_design_scores_gemma":[0.00000562548,0.0000108715,0.0002312613,0.000008456838,0.0000104792,0.000009848706,0.00002364653,0.9981432,0.00003531296,0.001316402,0.0002016222,0.000003373066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1596582,0.001799952,0.8176715,0.003476908,0.0001199691,0.0003155278,0.0007334572,0.0001803321,0.01604411],"genre_scores_gemma":[0.8634084,0.001210722,0.1273599,0.0005351962,0.0001253934,0.0005940803,0.0004604234,0.00009709587,0.006208722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02615165,"threshold_uncertainty_score":0.05199885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951403629427341,"score_gpt":0.3270754159687847,"score_spread":0.3075613796745113,"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."}}