{"id":"W3103693963","doi":"10.1016/j.watres.2020.116642","title":"Evidence-based chlorination targets for household water safety in humanitarian settings: Recommendations from a multi-site study in refugee camps in South Sudan, Jordan, and Rwanda","year":2020,"lang":"en","type":"article","venue":"Water Research","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Enhancing Learning and Research for Humanitarian Assistance; United Nations High Commissioner for Refugees; United States Agency for International Development","keywords":"Sanitation; Refugee; Water supply; Chlorine; Distribution (mathematics); Environmental science; Consumption (sociology); Hygiene; Environmental engineering; Water quality; Environmental protection; Geography; Water resource management; Chemistry; Medicine; Mathematics; Archaeology; Sociology","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":[0.08466923,0.001398552,0.001906531,0.002120847,0.0009385957,0.004159482,0.004144543,0.00242202,0.002838999],"category_scores_gemma":[0.1183405,0.0008956254,0.002252967,0.002378435,0.001361399,0.003553384,0.00517771,0.002841554,0.0004936542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005594167,"about_ca_system_score_gemma":0.02527306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03411142,"about_ca_topic_score_gemma":0.08010913,"domain_scores_codex":[0.9568595,0.03470875,0.003230908,0.001155551,0.003087497,0.000957706],"domain_scores_gemma":[0.9267688,0.03828543,0.008549932,0.002217688,0.02209255,0.002085563],"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":[0.00237113,0.002180953,0.3277644,0.04713438,0.004008938,0.001262831,0.01748503,0.03326918,0.004497194,0.008270967,0.03968028,0.5120748],"study_design_scores_gemma":[0.003442308,0.01191366,0.4277968,0.182295,0.01161825,0.001034195,0.05765144,0.08112946,0.01280692,0.02974779,0.1796156,0.0009487384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6133597,0.07773488,0.07895732,0.1879414,0.001223113,0.01065409,0.008133424,0.0005542954,0.02144176],"genre_scores_gemma":[0.8152157,0.01963745,0.1461131,0.01053938,0.0001398988,0.005376384,0.001808538,0.00009438718,0.001075128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08466923,"threshold_uncertainty_score":0.4477791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824129821887173,"score_gpt":0.3757142848401203,"score_spread":0.193301302651403,"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."}}