{"id":"W4320525611","doi":"10.1016/j.jece.2023.109339","title":"Exploring interactions between quorum sensing communication and microbial development in anammox membrane bioreactor","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Anammox; Quorum sensing; Membrane bioreactor; Biofilm; Chemistry; Bioreactor; Extracellular polymeric substance; Effluent; Bacteria; Biomass (ecology); Microbial population biology; Wastewater; Ammonium; Food science; Microbiology; Environmental chemistry; Biochemistry; Biology; Denitrification; Nitrogen; Environmental engineering; Ecology; Environmental science","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":[0.0002243272,0.000229241,0.0002100509,0.0001064433,0.0002115852,0.0004426748,0.0002612264,0.00029525,0.0004972891],"category_scores_gemma":[0.0002482407,0.0001150992,0.000193415,0.0001113544,0.0001357029,0.0003534329,0.0001737284,0.0003695745,0.0001001283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003989097,"about_ca_system_score_gemma":0.0003332378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445708,"about_ca_topic_score_gemma":0.001184981,"domain_scores_codex":[0.9998467,0.00004233895,0.000006234159,0.00002916907,0.0000388831,0.00003676911],"domain_scores_gemma":[0.9998614,0.00008029193,0.0000189034,0.000003854564,0.00001882663,0.00001668665],"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":[0.00008536831,0.00003430094,0.0003375903,0.00001966391,0.000002374012,0.00002047398,0.000008541428,0.0001277296,0.9985367,0.00011632,0.00001118717,0.0006996824],"study_design_scores_gemma":[0.00001656702,0.0003563637,0.00484398,0.000004490872,0.0000166207,0.00004243623,0.0000767883,0.01734999,0.9765915,0.0001850624,0.0005060972,0.0000102018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976808,0.0003220368,0.001304589,0.00007567447,0.00001067559,0.000006875624,0.00003808338,0.000009656889,0.0005515791],"genre_scores_gemma":[0.9982462,0.0001889331,0.001033373,0.00001938731,0.000003594684,0.00001043615,0.00002651215,0.000001931175,0.0004696238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001445708,"threshold_uncertainty_score":0.002894282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936294210686173,"score_gpt":0.2046450191320227,"score_spread":0.175282077025161,"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."}}