{"id":"W1992600154","doi":"10.1080/19443994.2014.966329","title":"Activated sludge with low solids production: modified ASM1 modeling and simulation","year":2014,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Consejo Nacional de Ciencia y Tecnología; Polytechnique Montréal","keywords":"Aeration; Mixed liquor suspended solids; Activated sludge; Volatile suspended solids; Activated sludge model; Suspended solids; Total suspended solids; Chemistry; Biomass (ecology); Inert; Pulp and paper industry; Fractionation; Waste management; Total dissolved solids; Biodegradation; Chemical oxygen demand; Bioreactor; Environmental science; Environmental engineering; Chromatography; Sewage treatment; Engineering; Wastewater; Organic chemistry","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":[0.00007883965,0.0001653055,0.0001178792,0.00003811459,0.0001800678,0.0000514782,0.00002465922,0.00004429706,0.00003287197],"category_scores_gemma":[0.000002848177,0.00009432979,0.00001790066,0.00005185029,0.00005052685,0.0003040457,0.00002551374,0.00002675355,0.0000266261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048692,"about_ca_system_score_gemma":0.000002218944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008974059,"about_ca_topic_score_gemma":0.00002485414,"domain_scores_codex":[0.9992157,0.00004454005,0.0001150478,0.0003149228,0.0001396933,0.0001700528],"domain_scores_gemma":[0.9997585,0.00001299452,0.00002613862,0.0001179903,0.00001185069,0.0000725396],"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":[0.001054519,0.0006476299,0.00734621,0.00002468743,0.0002044317,0.000009842447,0.003325295,0.7895183,0.1531954,0.0002229794,0.00001300431,0.04443773],"study_design_scores_gemma":[0.003018115,0.0006630311,0.001695883,0.00001264195,0.00009326213,0.00001356377,0.00005202751,0.6394129,0.3540632,0.000380544,0.0003549065,0.0002399894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970027,0.00000901871,0.001805028,0.0004930636,0.00004722131,0.0002710765,0.000001141196,0.00005585794,0.0003148679],"genre_scores_gemma":[0.9975655,0.00001222293,0.001600579,0.00002798797,0.00004166729,0.0000321193,0.00006180808,0.00001401762,0.0006440952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008678,"threshold_uncertainty_score":0.3846657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583138599962582,"score_gpt":0.2259118183208826,"score_spread":0.2100804323212568,"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."}}