{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002405373,0.000210809,0.0002094151,0.000211865,0.0002720917,0.00003043133,0.0006790565,0.0001315962,0.00018029],"category_scores_gemma":[0.000008078906,0.000127606,0.00005257081,0.0006250411,0.001444123,0.0003005716,0.0002986712,0.00009712877,0.0004547795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003994389,"about_ca_system_score_gemma":0.00002038967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003815424,"about_ca_topic_score_gemma":0.000009703175,"domain_scores_codex":[0.9979574,0.00001085086,0.0002171144,0.0007012324,0.0003586898,0.0007546771],"domain_scores_gemma":[0.9993149,0.00000601229,0.00006595869,0.0004632531,0.0000321123,0.0001177688],"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":[0.0001174165,0.0001395896,0.0004296334,0.00001273189,0.000008005457,0.00003754147,0.0005295213,0.000006712344,0.9959207,0.00124427,0.00003808182,0.001515779],"study_design_scores_gemma":[0.0006754673,0.0003903651,0.000121832,0.00003019494,0.00001994292,0.0002160492,0.0002298476,0.0002740475,0.9965672,0.0006976407,0.0005719614,0.0002053849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904594,0.000007639947,0.006635324,0.0001229945,0.0001402183,0.0005809127,0.000006807491,0.0002958795,0.001750827],"genre_scores_gemma":[0.9760945,0.000001024553,0.02342333,0.00002920414,0.00002181015,0.0002085282,0.00001033761,0.00001543311,0.0001958738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016788,"threshold_uncertainty_score":0.5845423,"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."}}