{"id":"W2322015692","doi":"10.2166/wst.2014.456","title":"Modeling bioaugmentation with nitrifiers in membrane bioreactors","year":2014,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"European Commission","keywords":"Bioaugmentation; Bioreactor; Nitrification; Seeding; Activated sludge; Environmental engineering; Chemistry; Environmental science; Sewage treatment; Thermodynamics; Ecology; Bioremediation","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":[0.0005086391,0.0008454311,0.0008267203,0.0002728852,0.0003981205,0.0009106012,0.001236775,0.001887632,0.0003697808],"category_scores_gemma":[0.0008599194,0.0004496531,0.00101385,0.000382081,0.0003533892,0.0006481598,0.0005189597,0.0006159102,0.0001374477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442619,"about_ca_system_score_gemma":0.000980549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02923266,"about_ca_topic_score_gemma":0.01177646,"domain_scores_codex":[0.9998146,0.0000472817,0.00001548787,0.0000478108,0.00003300681,0.00004190077],"domain_scores_gemma":[0.9996889,0.0001816251,0.0000408502,0.0000175222,0.00005255404,0.00001856501],"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":[0.00007450017,0.0000560701,0.001379202,0.00005601734,0.00002059012,0.00007295045,0.00004145934,0.9782354,0.01824208,0.0004406154,0.00002191072,0.001359275],"study_design_scores_gemma":[0.000008053325,0.00005439758,0.0004172589,0.000002594591,0.00000870528,0.000008188515,0.00001332338,0.9959286,0.003337884,0.0001267501,0.00008884264,0.000005371562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657628,0.0003127257,0.03144336,0.000120791,0.00001753418,0.00006751491,0.0002254516,0.00007255522,0.001977308],"genre_scores_gemma":[0.9903197,0.000395888,0.007653199,0.00001872706,0.000006119073,0.000146972,0.000107958,0.0000116341,0.00133973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02923266,"threshold_uncertainty_score":0.05812502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00691805331489802,"score_gpt":0.2010993500241575,"score_spread":0.1941812967092594,"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."}}