{"id":"W2102042810","doi":"10.6000/1929-6037.2012.01.02.7","title":"Membrane Fouling Potential of Secondary Effluent Organic Matter (EfOM) from Conventional Activated Sludge Process","year":2012,"lang":"en","type":"article","venue":"Journal of Membrane and Separation Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; King Abdullah University of Science and Technology","keywords":"Chemistry; Effluent; Organic matter; Activated sludge; Fouling; Membrane fouling; Natural organic matter; Membrane; Pulp and paper industry; Waste management; Environmental chemistry; Environmental science; Wastewater; Environmental engineering; Biochemistry; Organic chemistry; Engineering","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":[0.0002217441,0.0003021542,0.0002793944,0.0003148402,0.0002453554,0.0002821064,0.0001147316,0.0003629655,0.0003056909],"category_scores_gemma":[0.0003472405,0.00008448897,0.0002984437,0.0002524752,0.0001368255,0.0002377862,0.0001977872,0.0001904831,0.00009192593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071893,"about_ca_system_score_gemma":0.0002653935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896471,"about_ca_topic_score_gemma":0.002183359,"domain_scores_codex":[0.9997941,0.00002462823,0.00001914266,0.00003413596,0.0000927188,0.00003527788],"domain_scores_gemma":[0.9998451,0.00002595473,0.00003079394,0.000006394734,0.00006643992,0.00002532738],"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":[0.00008226277,0.00001281568,0.001550928,0.00005581413,0.000006792876,0.00004947758,0.00002058583,0.0001044223,0.9964142,0.00001517867,0.000008976881,0.001678485],"study_design_scores_gemma":[0.000006840476,0.000279143,0.01993942,0.000008324489,0.00002978841,0.000139061,0.00005299329,0.000984652,0.9779623,0.00002890729,0.0005613054,0.000007231145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988282,0.0001896898,0.0007137757,0.000007523256,0.000002918376,0.000006238854,0.00003466792,0.000005942787,0.0002108395],"genre_scores_gemma":[0.9976306,0.0002738032,0.00124157,0.00001990042,0.000004416009,0.00001264924,0.0001964761,0.000003710901,0.0006168383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001896471,"threshold_uncertainty_score":0.003770828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00875904860087617,"score_gpt":0.2546141099438217,"score_spread":0.2458550613429455,"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."}}