{"id":"W2328808993","doi":"10.2166/wst.2012.908","title":"Electrically enhanced MBR system for total nutrient removal in remote northern applications","year":2012,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Membrane bioreactor; Wastewater; Membrane fouling; Environmental science; Sewage treatment; Bioreactor; Extracellular polymeric substance; Pulp and paper industry; Chemical oxygen demand; Sewage; Environmental engineering; Fouling; Chemistry; Membrane; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004684226,0.0001736929,0.0001899939,0.0003590617,0.0002811343,0.00002971313,0.0006156635,0.0001309385,0.00002342651],"category_scores_gemma":[0.00001383242,0.0001229051,0.00005395973,0.001403542,0.0005678075,0.0003172576,0.0003002489,0.0001180498,0.0005660291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000699314,"about_ca_system_score_gemma":0.00002251696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006959603,"about_ca_topic_score_gemma":0.00006527777,"domain_scores_codex":[0.9978556,0.00001600015,0.0002713996,0.0005105967,0.0002919291,0.001054443],"domain_scores_gemma":[0.9993312,0.00001208573,0.00005728442,0.0004508988,0.00002299879,0.0001255039],"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":[0.00003213248,0.0001369232,0.00768574,0.000006909891,0.00000364051,0.000005115396,0.0003606704,0.00003670482,0.9775088,0.0008942496,0.000005848742,0.01332322],"study_design_scores_gemma":[0.0004478378,0.0001418016,0.0008054138,0.000007183557,0.00001095164,0.0001564474,0.0001511118,0.0004482875,0.9935437,0.001094223,0.002996981,0.0001959956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817179,0.0000543413,0.01523925,0.0003649362,0.0001252437,0.0008817919,0.00000233566,0.0001977334,0.001416434],"genre_scores_gemma":[0.9830099,0.000002407415,0.01635524,0.00002025084,0.00004173998,0.0001891126,0.000004735323,0.00001380252,0.0003627498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603492,"threshold_uncertainty_score":0.7275348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00603398880459128,"score_gpt":0.2161012665453575,"score_spread":0.2100672777407663,"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."}}