{"id":"W2739307226","doi":"","title":"Analyse cout-efficacite des interventions pour reduire les maladies diarrheiques chez les consommateurs de laitues irriguees avec des eaux usees au Ghana. In FrenchCost-effectiveness analysis of interventions for diarrhoeal disease reduction among consumers of wastewater-irrigated lettuce in Ghana","year":2011,"lang":"fr","type":"other","venue":"CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Psychological intervention; Geography; Forestry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002200706,0.0004971313,0.0006931049,0.0003638611,0.0002417172,0.0003316348,0.0003976826,0.0004965968,0.007071686],"category_scores_gemma":[0.005247895,0.0002048051,0.001544268,0.000477308,0.0002837727,0.0003108374,0.0004649397,0.000417041,0.0002337861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939912,"about_ca_system_score_gemma":0.001549681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03787695,"about_ca_topic_score_gemma":0.07012893,"domain_scores_codex":[0.9988859,0.000740011,0.000083635,0.00007036523,0.00009221405,0.0001279465],"domain_scores_gemma":[0.9980679,0.00108901,0.0004861847,0.00004752566,0.000124419,0.0001849259],"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":[0.1220323,0.01156744,0.2358004,0.01322503,0.004424689,0.000863704,0.003206679,0.004217207,0.0107439,0.0006324127,0.004753531,0.5885327],"study_design_scores_gemma":[0.01775223,0.08197603,0.8741222,0.00224293,0.004403073,0.0002884491,0.002356976,0.002787048,0.005343954,0.0003708514,0.008304281,0.00005198488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804028,0.01391096,0.0004137044,0.001183685,0.00004729754,0.0006657484,0.002158347,0.00002176889,0.001195566],"genre_scores_gemma":[0.9906467,0.005090403,0.001322856,0.0002588831,0.00002306033,0.0006544212,0.0008121104,0.000006000463,0.001185711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03787695,"threshold_uncertainty_score":0.07531297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0764252384862748,"score_gpt":0.3475034243876328,"score_spread":0.271078185901358,"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."}}