{"id":"W3203912194","doi":"10.1680/jenes.21.00025","title":"Municipal wastewater treatment using a membrane aerated biofilm reactor","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Denitrifying bacteria; Effluent; Wastewater; Nitrification; Chemistry; Chemical oxygen demand; Nitrifying bacteria; Environmental chemistry; Aeration; Denitrification; Pulp and paper industry; Moving bed biofilm reactor; Hydraulic retention time; Biofilm; Environmental engineering; Bacteria; Nitrogen; Environmental science; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002736611,0.0005310827,0.0006827209,0.0001738166,0.0002343169,0.0006153915,0.0003557773,0.0006873869,0.0002565288],"category_scores_gemma":[0.0002055591,0.0002415147,0.0005952396,0.0002449261,0.0001253392,0.0002941416,0.0003552088,0.0004210297,0.0001899026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045586,"about_ca_system_score_gemma":0.0005909607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078195,"about_ca_topic_score_gemma":0.003424036,"domain_scores_codex":[0.9995937,0.00006508295,0.00003977246,0.0000882123,0.000162123,0.00005106792],"domain_scores_gemma":[0.9999362,0.000008168517,0.00001487178,0.000006041178,0.00002045736,0.00001411867],"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":[0.00002779311,0.00001703292,0.0000994778,0.00003019584,0.00000731307,0.00002357756,0.000004878342,0.0002925525,0.9983841,0.00001658801,0.00001109641,0.001085363],"study_design_scores_gemma":[0.00003296481,0.0004767917,0.0036011,0.0000108626,0.00005183294,0.0001686615,0.00002255269,0.004593579,0.989095,0.00003402239,0.001891485,0.0000211043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897354,0.001130296,0.00808189,0.0001015304,0.00003859364,0.0000388534,0.0001378524,0.0001192921,0.0006163157],"genre_scores_gemma":[0.9824213,0.001116021,0.01478859,0.00005247855,0.00001368104,0.00004118236,0.000260973,0.00001457378,0.001291084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003078195,"threshold_uncertainty_score":0.006120563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323065277852851,"score_gpt":0.2059914718674747,"score_spread":0.1927608190889462,"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."}}