{"id":"W2993998855","doi":"","title":"Emerging Challenges of Vector-Borne Diseases and Cities: Balancing the risks and benefits of insecticide use for vector control: The Venda Health Examination of Mothers, Babies and their Environment (VHEMBE) Study","year":2016,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental health; Vector control; Vector (molecular biology); Control (management); Environmental planning; Business; Environmental protection; Geography; Medicine; Biology; Engineering; Computer science","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":[0.002171941,0.0004872678,0.0005208468,0.000575564,0.002432649,0.002275111,0.001363944,0.001124926,0.001264497],"category_scores_gemma":[0.003540424,0.0004891015,0.0007289922,0.002643132,0.001374586,0.001230052,0.002587669,0.002128694,0.0001119847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208245,"about_ca_system_score_gemma":0.02418623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9290774,"about_ca_topic_score_gemma":0.9771871,"domain_scores_codex":[0.9978585,0.0007211736,0.00005471203,0.00009777099,0.0002970073,0.0009708043],"domain_scores_gemma":[0.9979556,0.0002949173,0.0004800009,0.0001073771,0.0004339255,0.0007282543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003075287,0.0002353155,0.982013,0.00006896591,0.0001337596,0.0001863576,0.002711327,0.0001321115,0.0001038406,0.0006868057,0.002642058,0.01077883],"study_design_scores_gemma":[0.000074477,0.0001592567,0.9702349,0.0001086601,0.0001434015,0.0001033651,0.02585953,0.000210275,0.00008103932,0.0001720304,0.002832205,0.00002104316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877884,0.002623695,0.0001085726,0.004201247,0.00003968125,0.00008668272,0.001326874,0.000002415906,0.003822501],"genre_scores_gemma":[0.9955341,0.002175696,0.0001509174,0.0006867425,0.00002596993,0.00004691048,0.0004704009,0.00000373278,0.0009056015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9290774,"threshold_uncertainty_score":0.1426804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555841852818487,"score_gpt":0.2611839141596928,"score_spread":0.2256254956315079,"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."}}