{"id":"W1982551967","doi":"10.1081/ese-100104875","title":"BIOLOGICAL TREATMENT OF PULP MILL WASTEWATER USING SEQUENCING BATCH REACTORS","year":2001,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemical oxygen demand; Effluent; Biochemical oxygen demand; Sequencing batch reactor; Pulp and paper industry; Aeration; Wastewater; Pulp (tooth); Settling; Chemistry; Hydraulic retention time; Paper mill; Wastewater quality indicators; Batch reactor; Sewage treatment; Activated sludge; Environmental science; Waste management; Environmental engineering; Biochemistry; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007169413,0.0008169065,0.001151562,0.000377305,0.0004335133,0.0006727794,0.0006006835,0.0005538537,0.0006526656],"category_scores_gemma":[0.0004625054,0.0003477442,0.0004583339,0.0005915446,0.0002435529,0.000292074,0.0002784148,0.0007613549,0.0004838984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933744,"about_ca_system_score_gemma":0.0005129444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003038944,"about_ca_topic_score_gemma":0.003608661,"domain_scores_codex":[0.9992355,0.0001650001,0.0001040843,0.0001246522,0.0003015237,0.00006919837],"domain_scores_gemma":[0.99977,0.00007448885,0.00003427877,0.00002369571,0.0000664867,0.00003096404],"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":[0.00006844326,0.0000654922,0.00008704577,0.00007739568,0.00000540916,0.00001804211,0.00001606141,0.0003251142,0.9967284,0.00002270123,0.0000233951,0.002562431],"study_design_scores_gemma":[0.00001941368,0.0003272952,0.0005431955,0.000006312885,0.00001671535,0.0000441161,0.00001571383,0.002160904,0.9961364,0.00003659495,0.0006843967,0.00000895521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535165,0.001436468,0.04109513,0.0001487242,0.00007161367,0.000411298,0.0006691381,0.0005060656,0.002145153],"genre_scores_gemma":[0.8847772,0.003679383,0.1010097,0.0001764178,0.00006406312,0.0005894715,0.002072294,0.00009539352,0.007536066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003038944,"threshold_uncertainty_score":0.00604248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08824975003085285,"score_gpt":0.3018175757738132,"score_spread":0.2135678257429603,"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."}}