{"id":"W3036637526","doi":"10.1016/j.scitotenv.2020.140352","title":"Electro-oxidation of secondary effluents from various wastewater plants for the removal of acetaminophen and dissolved organic matter","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Effluent; Chemistry; Dissolved organic carbon; Organic matter; Wastewater; Environmental chemistry; Acute toxicity; Membrane bioreactor; Sewage treatment; Total organic carbon; Bioreactor; Toxicity; Waste management; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417882,0.0001261174,0.0001512038,0.00001029575,0.0001771855,0.0000108697,0.0006073899,0.0000229995,0.0007146099],"category_scores_gemma":[0.00001908518,0.00006080731,0.00005233738,0.0001005518,0.00111925,0.0001749237,0.0005839682,0.00006767731,0.00004001819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009262202,"about_ca_system_score_gemma":0.00001192192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007102922,"about_ca_topic_score_gemma":9.548855e-7,"domain_scores_codex":[0.9987401,0.00004519916,0.0002642918,0.0002779842,0.000474306,0.0001981039],"domain_scores_gemma":[0.9991676,0.00009125177,0.0002490785,0.0004383951,0.000003474819,0.00005018631],"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":[0.00006000315,0.00003966736,0.0005089209,0.00000544175,0.00002271736,2.051294e-7,0.00153975,0.006455956,0.9902939,0.00000708969,0.00002666689,0.001039665],"study_design_scores_gemma":[0.0004199257,0.0001052707,0.1092763,0.000008357722,0.00005254299,0.000006335728,0.0001772832,0.001633481,0.8876395,0.0005352354,0.00007436101,0.00007143992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969664,0.00005935225,0.0004886724,0.001707484,0.00004815251,0.0005737423,0.00004526574,0.000003656142,0.0001073064],"genre_scores_gemma":[0.9982196,0.00001950652,0.001354567,0.00006973815,0.00001089995,0.00001467187,0.000004204268,0.00000955175,0.0002972287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1087674,"threshold_uncertainty_score":0.7824478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00723653395570298,"score_gpt":0.1900799293557385,"score_spread":0.1828433954000356,"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."}}