{"id":"W2750554236","doi":"10.1080/20477724.2017.1361563","title":"Taking innovative vector control interventions in urban Latin America to scale: lessons learnt from multi-country implementation research","year":2017,"lang":"en","type":"article","venue":"Pathogens and Global Health","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Consejo Nacional de Ciencia y Tecnología; United Nations Development Programme; TDR; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); World Health Organization; UNICEF; World Bank Group","keywords":"Latin Americans; Psychological intervention; Chikungunya; Public health; Intervention (counseling); Civil society; Economic growth; Public health interventions; Political science; Politics; Medicine; Nursing; Dengue fever; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.1279433,0.001537618,0.001662296,0.001488702,0.002802207,0.005051306,0.003724128,0.001693991,0.003192488],"category_scores_gemma":[0.08940344,0.000722878,0.001884866,0.002601365,0.003828928,0.005413985,0.005127989,0.002730258,0.000259769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009453117,"about_ca_system_score_gemma":0.02953674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02361219,"about_ca_topic_score_gemma":0.03011246,"domain_scores_codex":[0.9041531,0.08040633,0.004681777,0.002420696,0.00350983,0.004828216],"domain_scores_gemma":[0.8896022,0.0820627,0.005705081,0.008980884,0.01130141,0.002347681],"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":[0.00198513,0.02288433,0.07833,0.01375708,0.002711907,0.001008781,0.06485563,0.008140895,0.004044682,0.01976513,0.005258338,0.7772581],"study_design_scores_gemma":[0.00991459,0.07635638,0.3488058,0.03202429,0.005777259,0.000872732,0.3301748,0.009882186,0.02112736,0.03384506,0.1304694,0.0007500614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684379,0.0145616,0.03263921,0.03432287,0.0006399197,0.02233455,0.0006533848,0.0002791123,0.02613151],"genre_scores_gemma":[0.9089384,0.007752579,0.0673603,0.003690612,0.0001147209,0.01022012,0.0003374475,0.00008721364,0.001498562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279433,"threshold_uncertainty_score":0.6766368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095691663871503,"score_gpt":0.5045568217317025,"score_spread":0.3949876553445522,"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."}}