{"id":"W1991044023","doi":"10.1016/j.ces.2012.05.004","title":"Modification of the kinetics for modeling substrate storage and biomass growth mechanism in activated sludge system under aerobic condition","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"Biomass (ecology); Activated sludge; Activated sludge model; Substrate (aquarium); Chemistry; Chemical oxygen demand; Kinetics; Bioreactor; Pulp and paper industry; Sewage treatment; Wastewater; Chemical engineering; Environmental engineering; Environmental science; Organic chemistry; Agronomy; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001717627,0.00007744096,0.00007253997,0.00003219975,0.00003623757,0.00001215741,0.0001420145,0.00003703114,0.000001702712],"category_scores_gemma":[0.00001627061,0.0000576093,0.00001873093,0.0002845267,0.0000947267,0.0002073415,0.00005328411,0.00003991789,0.00000113942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188145,"about_ca_system_score_gemma":0.000004650111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002046562,"about_ca_topic_score_gemma":2.623854e-7,"domain_scores_codex":[0.9993754,0.000004817578,0.0001160773,0.000145122,0.000149917,0.0002086922],"domain_scores_gemma":[0.9997841,0.0000176694,0.0000335585,0.00009881615,0.000009011334,0.00005688385],"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":[0.000002713587,0.0000199471,0.0002351879,0.00002236704,0.000001342431,5.647691e-8,0.00007636892,0.008710089,0.9896426,0.001282392,2.896003e-7,0.000006639605],"study_design_scores_gemma":[0.0001289106,0.000005846734,0.001513896,0.00001648578,0.000005248968,0.000003224004,0.00002617941,0.2099085,0.7882418,0.0000970592,1.791611e-7,0.00005265823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825889,0.00001223175,0.01711441,0.00001807505,0.00006520347,0.0001658136,0.000002508962,0.0000193251,0.0000135639],"genre_scores_gemma":[0.9964511,4.871847e-7,0.003510738,0.000002535933,0.000008913466,0.00001457901,0.000002534506,0.000006136954,0.000002964826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2014008,"threshold_uncertainty_score":0.2349239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687690778368408,"score_gpt":0.2105388070063089,"score_spread":0.1936618992226248,"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."}}