{"id":"W2994269280","doi":"10.2175/193864702785033527","title":"PERACETIC ACID (PAA) AS A DISINFECTANT FOR MUNICIPAL WASTEWATERS: ENCOURAGING PERFORMANCE RESULTS FROM PHYSICOCHEMICAL AS WELL AS BIOLOGICAL EFFLUENTS","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peracetic acid; Disinfectant; Alum; Effluent; Chemistry; Reagent; Pulp and paper industry; Ferric; Environmental chemistry; Waste management; Hydrogen peroxide; Environmental science; Organic chemistry; Environmental engineering","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":[0.0006870957,0.0004162135,0.000309957,0.0004755528,0.0005752795,0.0006073311,0.0003043924,0.000474143,0.001151972],"category_scores_gemma":[0.0004937664,0.0001876834,0.0002169371,0.0004963876,0.0003492872,0.0002348134,0.0002743166,0.0003417054,0.000713388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008284801,"about_ca_system_score_gemma":0.0007041714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03563376,"about_ca_topic_score_gemma":0.07735105,"domain_scores_codex":[0.9993937,0.00009900778,0.00004864861,0.00008781194,0.0002902857,0.00008057455],"domain_scores_gemma":[0.9994634,0.00007717495,0.00004212316,0.00003557332,0.0003225636,0.00005915155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000280277,0.0001206677,0.001502565,0.0001817531,0.00001883221,0.0000522582,0.00007812305,0.0002869841,0.976882,0.00002852377,0.00032622,0.02024173],"study_design_scores_gemma":[0.00001704045,0.00121364,0.01083939,0.00001167872,0.00003935728,0.0001768446,0.00006294305,0.0002969409,0.983961,0.00001164006,0.003357917,0.00001153715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867163,0.006541829,0.002232142,0.0002931866,0.00002220322,0.00005014354,0.0002594551,0.0001208907,0.0037639],"genre_scores_gemma":[0.9737085,0.007590502,0.004858363,0.0001579591,0.00002231121,0.00002798434,0.0009619161,0.00005454856,0.01261792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03563376,"threshold_uncertainty_score":0.0708527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068113017747513,"score_gpt":0.2143367770696523,"score_spread":0.1936556468921771,"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."}}