{"id":"W2328842200","doi":"10.2166/wst.2011.145","title":"Enhanced nutrient removal MBR system with chemical addition for low effluent TP","year":2011,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"EnviroSim (Canada)","funders":"","keywords":"Effluent; Activated sludge; Environmental science; Membrane bioreactor; Activated sludge model; Phosphorus; Enhanced biological phosphorus removal; Bioreactor; Environmental engineering; Precipitation; Process (computing); Chemistry; Process engineering; Waste management; Sewage treatment; Engineering; Computer 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":[0.0003216699,0.0005361581,0.001004353,0.0002286653,0.0002795777,0.0004014359,0.000681782,0.0007793795,0.000620393],"category_scores_gemma":[0.0002544835,0.0001833461,0.0005604898,0.0002847049,0.0001449288,0.0003531439,0.0003326328,0.0005069956,0.0003633325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651115,"about_ca_system_score_gemma":0.0004881723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004400575,"about_ca_topic_score_gemma":0.00345381,"domain_scores_codex":[0.9997389,0.00003429255,0.00002342824,0.0000654454,0.0001085067,0.00002945453],"domain_scores_gemma":[0.9999055,0.00001467433,0.00002419808,0.0000114622,0.00002686316,0.00001733154],"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":[0.00009641279,0.0001158219,0.0001573199,0.00005086658,0.000006890341,0.00004135589,0.00000992122,0.0007512096,0.9973052,0.00003094434,0.00001861571,0.00141556],"study_design_scores_gemma":[0.00009885847,0.001415553,0.001680885,0.000004637804,0.00004676517,0.0001152687,0.000009808825,0.01439124,0.9811891,0.00002873507,0.001001414,0.00001766773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932541,0.0001668942,0.005824942,0.00005405736,0.00001601608,0.00007633692,0.0001205344,0.0001906296,0.0002965311],"genre_scores_gemma":[0.9773197,0.0002860351,0.02048466,0.0000608207,0.00001193523,0.0001078512,0.0002168661,0.00002161802,0.001490622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004400575,"threshold_uncertainty_score":0.008749962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007836418254820616,"score_gpt":0.1880032283047448,"score_spread":0.1801668100499242,"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."}}