{"id":"W4387117585","doi":"10.1016/j.jece.2023.111139","title":"Anaerobic dynamic membrane bioreactors (AnDMBRs): A promising technology for high-strength wastewater treatment","year":2023,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Bioreactor; Anaerobic exercise; Wastewater; Sewage treatment; Environmental science; Hydraulic retention time; Membrane reactor; Activated sludge; Anaerobic filter; Waste management; Pulp and paper industry; Anaerobic digestion; Membrane; Chemistry; Environmental engineering; Engineering; Methane; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320304,0.000251225,0.0003341952,0.0002399026,0.00004887048,0.00001964911,0.000291192,0.000182726,0.0002179643],"category_scores_gemma":[0.00006427006,0.0002050165,0.0001381951,0.0003204244,0.0001299361,0.0002057512,0.0001341964,0.0001917123,0.00008104955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881765,"about_ca_system_score_gemma":0.000006488468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002769723,"about_ca_topic_score_gemma":4.779242e-7,"domain_scores_codex":[0.9986212,0.000006843313,0.0004721541,0.0002551554,0.000255335,0.0003892707],"domain_scores_gemma":[0.9994103,0.00007333123,0.0001870518,0.0002221669,0.000002521169,0.0001046241],"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":[0.00003077518,0.00008567513,0.0002788063,0.00001370361,0.00004457741,0.00002029544,0.00005209689,0.00670674,0.9897298,0.00001402509,0.00005503167,0.002968539],"study_design_scores_gemma":[0.0009799837,0.0002991954,0.0007770635,0.00002931719,0.00004190657,0.00007232994,0.00008919417,0.005886751,0.989924,0.0001094456,0.001566238,0.0002246331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987872,0.00005201343,0.000216414,0.0003565977,0.0001438108,0.0002471659,0.0000207693,0.0001592512,0.00001681424],"genre_scores_gemma":[0.9903511,0.0001105969,0.009260306,0.000007896321,0.00003858738,0.0000298023,0.00002099903,0.00004077795,0.0001399521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009043892,"threshold_uncertainty_score":0.836033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006057017261586394,"score_gpt":0.205800939065211,"score_spread":0.1997439218036246,"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."}}