{"id":"W4392303067","doi":"10.1016/j.envres.2024.118573","title":"Efficient nitrogen removal from ammonia rich wastewater using aerobic granular sludge (AGS) reactor: Selection and enrichment of effective microbial community","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"City of Calgary; National Research Council Canada; Canadian Stroke Consortium; Alberta Innovates; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Effluent; Wastewater; Microbial population biology; Chemical oxygen demand; Pulp and paper industry; Nitrogen; Ammonia; Sewage treatment; Environmental chemistry; Nitrosomonas; Biomass (ecology); Activated sludge; Nitrification; Volatile suspended solids; Sequencing batch reactor; Food science; Bacteria; Environmental engineering; Environmental science; Biology; Biochemistry; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832129,0.0004112588,0.0003343592,0.0001689989,0.0001743823,0.0003654585,0.000174151,0.0003040797,0.000166604],"category_scores_gemma":[0.0001051038,0.0001229766,0.0003446325,0.0001454277,0.0001443075,0.0001601761,0.0003785269,0.0001970619,0.00009750179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042655,"about_ca_system_score_gemma":0.0003276483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012124,"about_ca_topic_score_gemma":0.003134967,"domain_scores_codex":[0.999805,0.0000327212,0.0000196066,0.00004120138,0.00006060313,0.00004086851],"domain_scores_gemma":[0.9999573,0.000004757176,0.00001094858,0.000003588974,0.000009588356,0.00001379326],"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":[0.00003649375,0.00002571474,0.0002625339,0.00003498229,0.000003326594,0.00002681144,0.000007484487,0.0001049451,0.9977244,0.00001576922,0.000009291527,0.001748301],"study_design_scores_gemma":[0.00001359249,0.0005481402,0.005101231,0.000009042024,0.00001954445,0.0001214942,0.0000392205,0.002273535,0.9909384,0.00004003447,0.0008877559,0.000007996729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975812,0.0002669441,0.001514126,0.00002609406,0.0000124347,0.00001763844,0.00004716375,0.00002417505,0.0005100853],"genre_scores_gemma":[0.9951572,0.0002885487,0.003330311,0.00001829518,0.000004602652,0.00001334257,0.0001299861,0.00000548157,0.001052322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012124,"threshold_uncertainty_score":0.00241071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233660241180722,"score_gpt":0.2753790514986951,"score_spread":0.2530424490868878,"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."}}