{"id":"W2784963614","doi":"10.2166/wst.2018.011","title":"Performance of a membrane bioreactor in extreme concentrations of bisphenol A","year":2018,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"CTT Group (Canada); Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"","keywords":"Chemistry; Biodegradation; Bisphenol A; Membrane bioreactor; Hydraulic retention time; Nitrification; Bioreactor; Activated sludge; Environmental chemistry; Chemical oxygen demand; Nitrifying bacteria; Heterotroph; Autotroph; Bacteria; Chromatography; Sewage treatment; Environmental engineering; Nitrogen; Organic chemistry; Biology","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":[0.0004072721,0.0006089505,0.0006687804,0.0002139186,0.0003936512,0.0005317975,0.0003859979,0.0009055259,0.0006260402],"category_scores_gemma":[0.0003932304,0.0002120131,0.0006481489,0.0001773651,0.0001695732,0.0005176212,0.0003959181,0.0005713767,0.0005612288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004597709,"about_ca_system_score_gemma":0.0005366839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426315,"about_ca_topic_score_gemma":0.001219247,"domain_scores_codex":[0.9996158,0.0000641259,0.00004110666,0.0000903253,0.0001273124,0.00006139102],"domain_scores_gemma":[0.9997407,0.00006213156,0.00005574586,0.00002557638,0.00006792366,0.00004794465],"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":[0.0001029235,0.00002590613,0.0001317889,0.00002734336,0.000005407147,0.00001422802,0.00000784397,0.00007395117,0.9990358,0.000006078954,0.000008899545,0.0005598877],"study_design_scores_gemma":[0.00001340849,0.0006049895,0.001840582,0.000005862607,0.00002599876,0.00005871193,0.00002443191,0.001201311,0.9957566,0.00001692097,0.0004435217,0.000007692184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943445,0.0006474041,0.004196653,0.0001271369,0.00006256233,0.00002751552,0.0001686152,0.0001224334,0.0003032129],"genre_scores_gemma":[0.9938431,0.0004925717,0.004321835,0.00007818541,0.00001800495,0.00004707551,0.0002224771,0.00001989911,0.00095682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002426315,"threshold_uncertainty_score":0.0048244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494925969897219,"score_gpt":0.2027653397085506,"score_spread":0.1878160800095784,"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."}}