{"id":"W2034236214","doi":"10.2166/wst.2010.111","title":"Effects of powdered activated carbon dosing on sludge characteristics and estrogen removal in membrane bioreactors","year":2010,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chemistry; Membrane bioreactor; Extracellular polymeric substance; Membrane fouling; Powdered activated carbon treatment; Dosing; Chromatography; Bioreactor; Filtration (mathematics); Activated sludge; Membrane; Fouling; Activated carbon; Sewage treatment; Biochemistry; Environmental engineering; Organic chemistry; Biology; Bacteria; Environmental science; Adsorption","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":[0.0002307317,0.0004984211,0.0006841987,0.000260498,0.0002216136,0.0005414918,0.000318718,0.0005071486,0.0005420602],"category_scores_gemma":[0.0008704122,0.0002483307,0.0003099485,0.0003178213,0.000242648,0.0003724354,0.000231771,0.0003277824,0.0001668215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850047,"about_ca_system_score_gemma":0.0003171754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612369,"about_ca_topic_score_gemma":0.001336409,"domain_scores_codex":[0.9995208,0.000102835,0.00005911287,0.00008516476,0.0001843176,0.00004781194],"domain_scores_gemma":[0.9994561,0.0001636008,0.0001741826,0.00004539688,0.000107475,0.00005326285],"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":[0.0004999302,0.00006929915,0.0004494985,0.00007072461,0.00001655632,0.00004337605,0.0000121241,0.0003921439,0.9961488,0.000009598847,0.00001070529,0.002277272],"study_design_scores_gemma":[0.00001872025,0.0008585873,0.003021304,0.000003957282,0.00002217508,0.00005432447,0.00001855731,0.0009302073,0.9948131,0.00001276466,0.0002393306,0.000007061814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988109,0.0003871478,0.0004847567,0.00002888166,0.00001126193,0.00001430974,0.00007114778,0.00002494744,0.0001665683],"genre_scores_gemma":[0.9975517,0.0003024169,0.00162077,0.00003143692,0.000008104156,0.00001967464,0.00008708661,0.00001005345,0.0003687815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001612369,"threshold_uncertainty_score":0.003518939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005463239375898491,"score_gpt":0.217664873430579,"score_spread":0.2122016340546805,"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."}}