{"id":"W2607087718","doi":"10.2166/wrd.2017.200","title":"Optimized biological nitrogen removal of high-strength ammonium wastewater by activated sludge modeling","year":2017,"lang":"en","type":"article","venue":"Journal of Water Reuse and Desalination","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Activated sludge; Activated sludge model; Ammonium; Alkalinity; Denitrification; Sewage treatment; Environmental science; Chemistry; Nitrogen; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746827,0.0005586407,0.0004612707,0.0002170542,0.0002546196,0.0006092422,0.0005446733,0.0007228791,0.0004262454],"category_scores_gemma":[0.0004846492,0.0002248511,0.0006301783,0.0002661173,0.0002002459,0.0003054235,0.0002326984,0.0002785122,0.00008173766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165866,"about_ca_system_score_gemma":0.001051392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080981,"about_ca_topic_score_gemma":0.01324611,"domain_scores_codex":[0.9998908,0.00003538335,0.000007976336,0.00002530266,0.00002579704,0.00001470997],"domain_scores_gemma":[0.9998481,0.00007853242,0.00001915642,0.000008994702,0.00003874031,0.00000639496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003250853,0.0000407849,0.001012079,0.00002920642,0.00001151592,0.00002831216,0.00001543583,0.9892665,0.007695195,0.0001641962,0.00002727197,0.00167699],"study_design_scores_gemma":[0.000009445042,0.00003865176,0.0003891973,0.000001748994,0.00000665007,0.000003404452,0.000007004421,0.9949109,0.004458827,0.0000701185,0.0001003962,0.000003728462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579948,0.0001465753,0.0383471,0.00006519985,0.00001334867,0.00006662938,0.0001613644,0.000151031,0.003053965],"genre_scores_gemma":[0.9929935,0.00008849225,0.006055866,0.000007949026,0.000001411613,0.00004811506,0.00008115434,0.00001131914,0.00071218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02080981,"threshold_uncertainty_score":0.04137737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099295673032863,"score_gpt":0.2389735584369864,"score_spread":0.2179806017066578,"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."}}