{"id":"W2015455484","doi":"10.1016/s0043-1354(01)00237-8","title":"Improving anaerobic sequencing batch reactor performance by modifying operational parameters","year":2002,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sequencing batch reactor; Anaerobic exercise; Process engineering; Environmental science; Waste management; Biochemical engineering; Engineering; Environmental engineering; Sewage treatment; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000846225,0.001217213,0.0009142769,0.000322117,0.0002515506,0.001073121,0.00075363,0.0007907418,0.0007497421],"category_scores_gemma":[0.001298411,0.0005354163,0.0003622044,0.0005018864,0.0003327749,0.0009627811,0.0003963794,0.0006701908,0.000388874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878052,"about_ca_system_score_gemma":0.0006154804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000715289,"about_ca_topic_score_gemma":0.001375842,"domain_scores_codex":[0.9993604,0.0001129985,0.0001413397,0.0001321729,0.0001641517,0.00008898535],"domain_scores_gemma":[0.9995201,0.0001621935,0.0001220012,0.00007847027,0.00007270157,0.00004456942],"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":[0.0001747739,0.0001115403,0.0001832288,0.00004329235,0.000007802041,0.00001163167,0.00001721946,0.0004056455,0.9956726,0.00003307212,0.00002681593,0.003312416],"study_design_scores_gemma":[0.00001866431,0.0001096359,0.0005261857,0.000002227041,0.00002112998,0.00002398102,0.000008056101,0.0008855883,0.9978846,0.00002882581,0.0004811273,0.000009845121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98544,0.0004168794,0.01261789,0.0001508825,0.00007315655,0.00007960054,0.0002028129,0.0002770611,0.0007416917],"genre_scores_gemma":[0.9784909,0.0005581254,0.01881625,0.00009995345,0.00002842209,0.00008693702,0.0003584516,0.0001235153,0.001437338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001217213,"threshold_uncertainty_score":0.004475296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554076344549902,"score_gpt":0.2736987484061164,"score_spread":0.1981579849606173,"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."}}