{"id":"W2769775609","doi":"10.4314/thrb.v19i4.1","title":"Mapping clusters of chikungunya and dengue transmission in northern Tanzania using disease exposure and vector data","year":2017,"lang":"en","type":"article","venue":"Tanzania journal of health research/Tanzania Journal of Health Research","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Public Health Agency of Canada","funders":"","keywords":"Chikungunya; Tanzania; Dengue fever; Vector (molecular biology); Geography; Transmission (telecommunications); Virology; Cartography; Biology; Computer science; Environmental planning; Genetics; Telecommunications","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":[0.0005164254,0.00022841,0.000149575,0.001725838,0.000258896,0.0004419677,0.0002160273,0.0001215627,0.0008161013],"category_scores_gemma":[0.00142086,0.0001741326,0.0002781943,0.001373347,0.0001535691,0.0001949018,0.0006998345,0.0001314072,0.0001129713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005172513,"about_ca_system_score_gemma":0.0008115469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05761224,"about_ca_topic_score_gemma":0.07066784,"domain_scores_codex":[0.9997713,0.00007192749,0.00001838947,0.00005395017,0.00002706118,0.00005738225],"domain_scores_gemma":[0.9995389,0.0001113842,0.0001826675,0.00003283541,0.00006578802,0.00006851462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001307526,0.00002899376,0.9814743,0.00008756761,0.00005775437,0.0002741972,0.001666529,0.001419624,0.002516849,0.0001291389,0.0004156162,0.01179862],"study_design_scores_gemma":[0.00001005503,0.00004849235,0.9955681,0.00003579494,0.00003007701,0.00009230894,0.001328366,0.002213762,0.0001697729,0.00005637241,0.0004411303,0.000005743211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989176,0.00007989395,0.0002213133,0.00001917755,9.715145e-7,0.00002467173,0.0005654108,0.000008830277,0.0001622283],"genre_scores_gemma":[0.997757,0.00005090321,0.001344269,0.000004075522,0.000001065245,0.00003206704,0.0007091989,0.000001392279,0.0001000387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05761224,"threshold_uncertainty_score":0.1145538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2758010071692098,"score_gpt":0.4816647668709059,"score_spread":0.2058637597016961,"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."}}