{"id":"W2414720588","doi":"10.2175/106143006x105274","title":"Performance of a Submerged Membrane Bioreactor System for Biological Nutrient Removal","year":2006,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Anoxic waters; Hydraulic retention time; Effluent; Chemical oxygen demand; Wastewater; Membrane bioreactor; Chemistry; Nitrogen; Phosphorus; Bioreactor; Pulp and paper industry; Nutrient; Suspended solids; Sewage treatment; Biochemical oxygen demand; Environmental engineering; Environmental chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004194965,0.0007143891,0.0007522868,0.0002467758,0.0003387475,0.0004678837,0.0005287892,0.0007862404,0.0005693699],"category_scores_gemma":[0.0003511148,0.0002112119,0.0004744342,0.0002169603,0.000127571,0.0004255646,0.0002473831,0.0003608989,0.0005475737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237695,"about_ca_system_score_gemma":0.0006077613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003428095,"about_ca_topic_score_gemma":0.002589104,"domain_scores_codex":[0.9996779,0.00004401664,0.00003139153,0.00008713375,0.0001229856,0.00003661175],"domain_scores_gemma":[0.9998322,0.00003467944,0.00002960434,0.00001694969,0.00005046984,0.0000362702],"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":[0.00005488707,0.00002150479,0.00009217618,0.00002458131,0.000003665133,0.00001131826,0.000003942162,0.0000922842,0.9985529,0.000004369859,0.00001042021,0.001128001],"study_design_scores_gemma":[0.00002421561,0.00105026,0.002914877,0.000007031704,0.00004232397,0.0001412073,0.00001656794,0.003051679,0.991907,0.00001736898,0.0008140386,0.00001343494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881589,0.0008911359,0.009795701,0.00009414591,0.00004325674,0.00005331819,0.0002614085,0.0002298732,0.0004723251],"genre_scores_gemma":[0.9831563,0.0008324238,0.01388538,0.00006512062,0.00002025974,0.0000669939,0.0005953758,0.00002398868,0.001354241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003428095,"threshold_uncertainty_score":0.006816268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03667329595477457,"score_gpt":0.2518098633388686,"score_spread":0.215136567384094,"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."}}