{"id":"W2056315154","doi":"10.2166/wst.2010.028","title":"A pilot study of anaerobic membrane digesters for concurrent thickening and digestion of waste activated sludge (WAS)","year":2010,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Waterloo","funders":"","keywords":"Anaerobic digestion; Activated sludge; Volatile suspended solids; Filtration (mathematics); Hydraulic retention time; Chemistry; Membrane fouling; Mixed liquor suspended solids; Pulp and paper industry; Bioreactor; Biogas; Suspended solids; Methanogenesis; Waste management; Anaerobic exercise; Biomass (ecology); Fouling; Sewage treatment; Wastewater; Environmental science; Environmental engineering; Methane; Membrane; Biology; Mathematics; Ecology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009134001,0.0005580399,0.000889384,0.0002268034,0.0005882854,0.0005918621,0.0004585434,0.0006088261,0.0005472158],"category_scores_gemma":[0.0005899612,0.0002232652,0.0008095688,0.0002651155,0.0003248636,0.0004488751,0.0003352616,0.0005325192,0.0001825639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000481487,"about_ca_system_score_gemma":0.0005890412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502681,"about_ca_topic_score_gemma":0.002136007,"domain_scores_codex":[0.9995517,0.0001084577,0.00003896586,0.0001033173,0.0001222864,0.00007523183],"domain_scores_gemma":[0.999607,0.0001136098,0.0000721959,0.00003100183,0.00009737718,0.00007882228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000959088,0.0006895757,0.001567282,0.0001449501,0.00002873213,0.0001495676,0.00010032,0.0003826647,0.9921462,0.00004457084,0.00003219592,0.003754858],"study_design_scores_gemma":[0.0001480245,0.02701186,0.02032923,0.00001755368,0.0001471983,0.0004473903,0.0001953674,0.002039313,0.9474548,0.00004695114,0.00213746,0.00002486062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985237,0.0001147214,0.0009810672,0.00001358345,0.000006592385,0.0001044003,0.00007440833,0.00001692981,0.0001647737],"genre_scores_gemma":[0.9920573,0.0003480454,0.00601073,0.00003573456,0.00001025385,0.0001190602,0.0002945494,0.000009687854,0.001114639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002502681,"threshold_uncertainty_score":0.004976213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968330669114291,"score_gpt":0.2622412222113641,"score_spread":0.2425579155202212,"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."}}