{"id":"W2545350247","doi":"10.1007/978-3-319-42806-2_19","title":"Chlorination of Drinking Water – Scientific Evidence and Policy Implications","year":2016,"lang":"en","type":"book-chapter","venue":"Global issues in water policy","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Guelph; University of British Columbia","funders":"","keywords":"Disinfectant; Chlorine; Resentment; Water supply; Water treatment; Public health; Environmental planning; Water quality; Safe Drinking Water Act; Environmental protection; Business; Political science; Environmental engineering; Environmental science; Chemistry; Law; Ecology; Medicine; Politics","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":[0.003840673,0.0006482144,0.0006493778,0.001452628,0.0004005941,0.002841078,0.001270034,0.003861105,0.005308702],"category_scores_gemma":[0.004123976,0.00026835,0.0005682178,0.001995861,0.005704463,0.002865394,0.001270411,0.002716348,0.0008534506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003467811,"about_ca_system_score_gemma":0.005885813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007884218,"about_ca_topic_score_gemma":0.01631611,"domain_scores_codex":[0.9962954,0.001736591,0.0001613508,0.0003691886,0.001203955,0.0002335185],"domain_scores_gemma":[0.9939305,0.005068128,0.0003230599,0.0002001564,0.0004121978,0.00006592687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002444004,0.0002238777,0.001159153,0.007317021,0.00009360473,0.0002397094,0.0008737882,0.002379508,0.004276539,0.270008,0.08219109,0.6309933],"study_design_scores_gemma":[0.000037457,0.0001430853,0.002705868,0.004837316,0.00006295622,0.0003501505,0.0009589005,0.0004734405,0.007941155,0.2262616,0.7561914,0.00003672211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.004566736,0.8241748,0.001303196,0.05447562,0.001609792,0.00001655201,0.00009861934,0.00001688514,0.1137379],"genre_scores_gemma":[0.05433161,0.8850424,0.001712632,0.01811443,0.002322563,0.00004572783,0.0001462919,0.0000379948,0.03824642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007884218,"threshold_uncertainty_score":0.02516085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244827954857986,"score_gpt":0.2976213464585289,"score_spread":0.275173066909949,"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."}}