{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603423,0.0001283508,0.0001719549,0.0001128503,0.00003858112,0.0000178004,0.0001028108,0.00003341496,0.00004592201],"category_scores_gemma":[0.00001384947,0.0001219944,0.00004155899,0.0001668817,0.00004226263,0.0003652561,0.0001833577,0.0002124517,0.00003605977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774009,"about_ca_system_score_gemma":0.00000355841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001814243,"about_ca_topic_score_gemma":0.000002813471,"domain_scores_codex":[0.9991605,0.00001403705,0.0003370745,0.0001176161,0.0001663547,0.0002044574],"domain_scores_gemma":[0.9996619,0.00006617187,0.00008275617,0.00008692237,0.000001337989,0.0001009638],"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":[0.00001174538,0.00002792602,0.009474138,0.000005696354,0.00002374589,0.00002288437,0.0005094056,0.0007370022,0.9846821,2.95218e-7,0.000009975486,0.00449502],"study_design_scores_gemma":[0.0005749614,0.00001998973,0.08906952,0.00008743862,0.00002193192,0.00008805521,0.0001482735,0.0009164775,0.9069399,0.000004028361,0.001948791,0.000180643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996951,0.00002755222,0.00003451857,0.00009741405,0.00005295543,0.00005394603,0.000002550114,0.00001687017,0.00001913659],"genre_scores_gemma":[0.9885985,0.00006445974,0.01123745,0.000005349131,0.00004303002,0.000001597918,0.00001365571,0.00001709579,0.00001885035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07959538,"threshold_uncertainty_score":0.4974785,"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."}}