{"id":"W2001798232","doi":"10.1139/s06-049","title":"Removal of endocrine disrupting compounds using a membrane bioreactor and disinfection","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico; Ministry of Environment","keywords":"Effluent; Membrane bioreactor; Estrone; Bioreactor; Wastewater; Chemistry; Wastewater reuse; Pulp and paper industry; Chlorine dioxide; Environmental chemistry; Sewage treatment; Bisphenol A; Chlorine; Reuse; Environmental science; Waste management; Environmental engineering; Hormone; Organic chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003855419,0.0006452079,0.0005352607,0.00040114,0.0002835404,0.0004111467,0.0004851142,0.0007382502,0.0006333023],"category_scores_gemma":[0.0003766481,0.0002350567,0.0005242864,0.0003577083,0.0001950585,0.0005173336,0.0003458162,0.0004497832,0.0005505867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000714841,"about_ca_system_score_gemma":0.0004608866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002454248,"about_ca_topic_score_gemma":0.003072472,"domain_scores_codex":[0.9995204,0.00005734083,0.00004382951,0.00009923133,0.0002156649,0.00006348419],"domain_scores_gemma":[0.9998289,0.00003171423,0.00005872322,0.00001686029,0.00004261857,0.000021034],"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":[0.00004721199,0.00002659063,0.0003059009,0.00005062836,0.000009453001,0.00002142191,0.000007948277,0.00008028073,0.9974573,0.00002122405,0.0000171758,0.001954874],"study_design_scores_gemma":[0.00001624147,0.0004968844,0.003225369,0.000009591768,0.0000285457,0.0002668666,0.00002259643,0.0008106867,0.9929869,0.00002870485,0.00209795,0.000009703464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785392,0.002342877,0.01744952,0.0001869364,0.00005629833,0.00008542884,0.0001419917,0.000164718,0.00103304],"genre_scores_gemma":[0.9642664,0.001716474,0.02942608,0.0001177484,0.00002653956,0.00008901519,0.0003204148,0.00002292571,0.004014332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002454248,"threshold_uncertainty_score":0.005186558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344069304568312,"score_gpt":0.2604601169216768,"score_spread":0.2470194238759936,"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."}}