{"id":"W1920245481","doi":"10.3934/publichealth.2015.4.601","title":"Japanese Encephalitis: Estimating Future Trends in Asia","year":2015,"lang":"en","type":"article","venue":"AIMS Public Health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Wildlife Federation; Wilfrid Laurier University","funders":"","keywords":"Geography; Japanese encephalitis; Urbanization; China; Distribution (mathematics); Socioeconomics; Population; Environmental health; Encephalitis; Biology; Ecology; Medicine; Virology; Virus","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":[0.001533074,0.0004709204,0.0003319261,0.001529891,0.0002043163,0.001038813,0.0004656556,0.0003004201,0.001100366],"category_scores_gemma":[0.002459464,0.0002503614,0.0008843013,0.001691881,0.0001750018,0.001161519,0.0006133143,0.0004204724,0.0003164776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009674578,"about_ca_system_score_gemma":0.00109555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04579845,"about_ca_topic_score_gemma":0.02938564,"domain_scores_codex":[0.9997626,0.00006414187,0.00003412489,0.00007778298,0.00003308577,0.00002829776],"domain_scores_gemma":[0.9992482,0.0001999351,0.0001983957,0.00006962542,0.0002305144,0.00005330095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006765693,0.00003037321,0.873147,0.0001232392,0.0002637975,0.0001579937,0.0005364325,0.09163021,0.0006941892,0.001217341,0.001138005,0.03099373],"study_design_scores_gemma":[0.00002018491,0.000177781,0.5037769,0.0001345147,0.0002840216,0.000319472,0.002824946,0.4802926,0.0008934045,0.003962971,0.007272601,0.00004051541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653561,0.0007395354,0.02190091,0.0004075323,0.00002505893,0.00007458447,0.006449118,0.0002619681,0.00478527],"genre_scores_gemma":[0.9807788,0.0009708237,0.01321881,0.00003963278,0.00001468799,0.00007523965,0.00410087,0.00002816331,0.0007729253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04579845,"threshold_uncertainty_score":0.09106374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05918408305588013,"score_gpt":0.3574295043313514,"score_spread":0.2982454212754713,"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."}}