{"id":"W1997720019","doi":"10.4081/gh.2014.10","title":"Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques","year":2014,"lang":"en","type":"article","venue":"Geospatial health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"George Mason University","keywords":"Dengue fever; Geography; Outbreak; Geospatial analysis; Environmental health; Public health; Population; Habitat; Aedes; Ecology; Cartography; Biology; Virology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462824,0.0002190234,0.0005307795,0.0002269742,0.0001987089,0.0000308883,0.0001068036,0.0000926936,0.00004820877],"category_scores_gemma":[0.0004052752,0.0002024061,0.0001058563,0.0001927337,0.00005269041,0.00007641398,0.00006319953,0.000384,0.000009688296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638793,"about_ca_system_score_gemma":0.0001882242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017938,"about_ca_topic_score_gemma":0.001642608,"domain_scores_codex":[0.9975247,0.0006734708,0.0004925347,0.0005125951,0.000312233,0.0004844182],"domain_scores_gemma":[0.9986522,0.0002198402,0.0002289163,0.0002771584,0.00009357668,0.0005283766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004012467,0.0002438844,0.05550123,0.0001554808,0.00006386973,0.00001937856,0.001002429,0.0001100625,0.0002446301,0.0009882695,0.00142234,0.9398472],"study_design_scores_gemma":[0.002841867,0.001567039,0.9493458,0.0002983577,0.00009842606,0.00002532155,0.0002550807,0.03121353,0.0002613754,0.006539868,0.00723801,0.000315325],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5567687,0.000844787,0.4360924,0.003892688,0.0003604081,0.001368587,0.0002352646,0.0001111027,0.0003261127],"genre_scores_gemma":[0.9191311,0.0004164553,0.07659039,0.002482487,0.001100712,0.0001536722,0.00005642504,0.0000300257,0.00003871674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9395319,"threshold_uncertainty_score":0.9964119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843914774274222,"score_gpt":0.3287027867194112,"score_spread":0.310263638976669,"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."}}