{"id":"W4387306499","doi":"10.2175/193864718825159207","title":"Doing More with Less: Refining the Westbank Biological Nutrient Removal Process to Achieve Aerobic Granular Sludge While Enhancing Performance","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient; Effluent; Environmental science; Waste management; Pulp and paper industry; Sewage treatment; Wastewater; Chemistry; Environmental engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005006595,0.0002675312,0.0001960766,0.00004345202,0.000804848,0.0001164949,0.0004052522,0.00007292927,0.0000665354],"category_scores_gemma":[0.000006133361,0.0001115043,0.00007103648,0.0002437732,0.0001835414,0.0003585717,0.0004061496,0.0001620406,0.000211675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640781,"about_ca_system_score_gemma":0.000004609804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077757,"about_ca_topic_score_gemma":0.000008349739,"domain_scores_codex":[0.9981445,0.00002034691,0.0003155466,0.0004724609,0.0005799616,0.0004671471],"domain_scores_gemma":[0.9995953,0.00001580067,0.0001319271,0.0001747622,0.00001149177,0.00007073022],"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":[0.0002623601,0.00009918587,0.04000172,0.00004317471,0.0000306223,0.000003145484,0.007329374,0.007475511,0.9429329,0.0000198151,0.0001365636,0.001665629],"study_design_scores_gemma":[0.0004380714,0.0003950603,0.01745119,0.00008979916,0.00004383302,0.00004082536,0.001414809,0.0006901455,0.9769546,0.00008336743,0.002141562,0.0002567763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963695,0.00000758489,0.0000707017,0.002370411,0.00005297278,0.0005863154,0.000001833736,0.00006888919,0.0004717269],"genre_scores_gemma":[0.9970148,0.00002443312,0.00180868,0.0001434316,0.00005500109,0.0001510063,0.00001525924,0.00002758408,0.000759821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03402166,"threshold_uncertainty_score":0.6190321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467985098867999,"score_gpt":0.2032640160847864,"score_spread":0.1885841650961064,"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."}}