{"id":"W2072154622","doi":"10.1016/j.jenvman.2004.04.014","title":"Fuzzy synthetic evaluation of disinfection by-products—a risk-based indexing system","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":163,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; National Research Council Canada","funders":"","keywords":"Haloacetic acids; Chloramine; Chlorine; Fuzzy logic; Disinfectant; Environmental science; Risk assessment; Environmental chemistry; Water treatment; Environmental engineering; Computer science; Chemistry; Artificial intelligence; Organic chemistry","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":[0.003218675,0.0007059473,0.00113722,0.004327362,0.0009704753,0.00236826,0.001006968,0.0008374142,0.001995506],"category_scores_gemma":[0.005995577,0.0002086204,0.0008530148,0.001978746,0.0006298868,0.001603672,0.001017142,0.000359637,0.0003492962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685085,"about_ca_system_score_gemma":0.001520679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389054,"about_ca_topic_score_gemma":0.002631095,"domain_scores_codex":[0.9981734,0.0004461053,0.000227182,0.0002487557,0.0007982218,0.0001064097],"domain_scores_gemma":[0.9972751,0.0008241771,0.0002689652,0.0001959419,0.001257173,0.0001786774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003935758,0.001086407,0.01719409,0.0006600753,0.0003383923,0.0003231947,0.000532144,0.3084747,0.03885241,0.01939923,0.003827662,0.6053759],"study_design_scores_gemma":[0.00005912595,0.0004387246,0.002946657,0.00002811145,0.0001357719,0.00009870771,0.00009828407,0.982142,0.008131929,0.004589013,0.00129137,0.00004023366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3654827,0.0005537178,0.6232806,0.0003471301,0.00009166438,0.0004798039,0.0008347198,0.0009230919,0.008006607],"genre_scores_gemma":[0.8915561,0.00013861,0.1060194,0.00003839936,0.00004073884,0.0001566402,0.000617188,0.0000243669,0.001408447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004327362,"threshold_uncertainty_score":0.01702219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06524766010393328,"score_gpt":0.3440693890118531,"score_spread":0.2788217289079198,"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."}}