{"id":"W2274909947","doi":"10.1080/20477724.2016.1142057","title":"Innovative dengue vector control interventions in Latin America: what do they cost?","year":2016,"lang":"en","type":"article","venue":"Pathogens and Global Health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of British Columbia","funders":"World Health Organization","keywords":"Dengue fever; Latin Americans; Psychological intervention; Vector (molecular biology); Virology; Dengue virus; Vector control; Computer science; Medicine; Environmental health; Political science; Biology; Engineering; Recombinant DNA; Genetics; Nursing","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":[0.0002455079,0.000149781,0.0004247667,0.00005590161,0.00006894939,0.00003602385,0.00005369778,0.00005027359,0.00007890384],"category_scores_gemma":[0.000131491,0.00009666014,0.000108477,0.0002783352,0.00005796666,0.0001060077,0.00002984022,0.00008097495,0.0000237119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242859,"about_ca_system_score_gemma":0.000219706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003423386,"about_ca_topic_score_gemma":0.0004821171,"domain_scores_codex":[0.9986404,0.0001243234,0.0003986443,0.0003040238,0.0001538592,0.0003787873],"domain_scores_gemma":[0.9991518,0.00006971056,0.0001437191,0.0002099216,0.00014179,0.0002830605],"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":[0.0003404981,0.0002983643,0.1480829,0.0001281387,0.00005764523,0.00004724558,0.0001766427,7.669881e-7,0.0002695687,0.007260542,0.0005003091,0.8428375],"study_design_scores_gemma":[0.006105309,0.0006846014,0.9840128,0.001539088,0.00004927833,0.00002180567,0.001041098,0.00009029409,0.000003563704,0.0009906312,0.005308143,0.0001533588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274031,0.03437235,0.004730729,0.02802831,0.0004710119,0.002349468,0.001845267,0.00008436874,0.0007154251],"genre_scores_gemma":[0.9933569,0.00273968,0.0001085916,0.003514377,0.0001120056,0.00008708982,0.00002106086,0.000009904944,0.00005042446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8426841,"threshold_uncertainty_score":0.3941686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084046591182992,"score_gpt":0.3421251848639658,"score_spread":0.3212847189521358,"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."}}