{"id":"W4381951104","doi":"10.1016/j.scitotenv.2023.165131","title":"Nanobubble aeration enhanced wastewater treatment and bioenergy generation in constructed wetlands coupled with microbial fuel cells","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Aeration; Microbial fuel cell; Wastewater; Sewage treatment; Wetland; Environmental science; Environmental engineering; Pulp and paper industry; Materials science; Chemical engineering; Electricity generation; Waste management; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002928138,0.0001083675,0.00009719777,0.00004694532,0.0001936594,0.00003520779,0.0001627972,0.00002525513,0.0002760581],"category_scores_gemma":[0.000004739923,0.00005570202,0.00002100005,0.00033912,0.00085935,0.0001610647,0.0001163018,0.00003564576,0.00003907594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151031,"about_ca_system_score_gemma":0.00001670032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231885,"about_ca_topic_score_gemma":0.0001129774,"domain_scores_codex":[0.9990542,0.00005431611,0.0001864998,0.0002442251,0.0002839157,0.000176858],"domain_scores_gemma":[0.9996098,0.00001415,0.00009066633,0.0002447059,0.000003687556,0.0000369507],"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":[0.00001333634,0.00002457842,0.00005197841,0.000001041299,0.000002009795,1.922139e-7,0.0006768056,0.08530696,0.9135863,0.00004862084,0.00005370013,0.0002345102],"study_design_scores_gemma":[0.0003574143,0.000129461,0.004666913,0.000004455956,0.000006177933,0.000003038538,0.0001333426,0.06570563,0.928811,0.00005526786,0.00004571315,0.00008155416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985636,0.000004267643,0.00005134241,0.0005578023,0.00005405996,0.0003367413,0.000003755158,0.00001727198,0.00041116],"genre_scores_gemma":[0.9977791,0.00006847665,0.0004077576,0.00002283683,0.0000114398,0.00003886456,0.000007003387,0.000005388546,0.001659134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960133,"threshold_uncertainty_score":0.3166311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388702898450623,"score_gpt":0.2046007309400442,"score_spread":0.1952120280415936,"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."}}