{"id":"W1819538160","doi":"10.1016/j.chemosphere.2015.08.077","title":"Long term performance of membranes in an anaerobic membrane bioreactor treating municipal wastewater","year":2015,"lang":"en","type":"article","venue":"Chemosphere","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Solar Energy Technologies Office; China Scholarship Council","keywords":"Fouling; Membrane fouling; Membrane; Wastewater; Chemistry; Membrane bioreactor; Pulp and paper industry; Pilot plant; Filtration (mathematics); Environmental engineering; Chromatography; Waste management; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002276093,0.0001799342,0.0002512478,0.00002292557,0.00003556478,0.00002008528,0.0004377386,0.0001301679,0.001134459],"category_scores_gemma":[0.00004397384,0.0001517647,0.00003425911,0.0003285787,0.000240348,0.000574177,0.0001677682,0.00013752,0.0001258227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204543,"about_ca_system_score_gemma":0.00001485928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003007544,"about_ca_topic_score_gemma":0.0008062829,"domain_scores_codex":[0.9987665,0.00003477907,0.0003323756,0.0003153088,0.000261263,0.0002897315],"domain_scores_gemma":[0.9992273,0.00002038718,0.0001246065,0.0005187546,0.00001240837,0.00009650057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008207106,0.0001647246,0.5289154,0.00009123499,0.000006349864,0.0000106295,0.002139157,0.003146306,0.4554448,0.000004775052,0.00004753171,0.00994698],"study_design_scores_gemma":[0.0006391628,0.0001703451,0.06527189,0.00003802158,0.000006924471,0.000006893928,0.0007553237,0.002973073,0.9298536,0.00001144418,0.00007944003,0.0001938584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951732,0.00005318879,0.000001321713,0.00004503778,0.00004990881,0.000184959,0.000001866397,0.0001021416,0.004388364],"genre_scores_gemma":[0.9979001,0.00002501641,0.001439165,0.00001981572,0.0000153812,0.00001736725,0.00001605947,0.00001925957,0.0005477903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4744088,"threshold_uncertainty_score":0.9997786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275860626977507,"score_gpt":0.2562257475848789,"score_spread":0.2286396848871282,"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."}}