{"id":"W2992709945","doi":"10.2175/193864711802793515","title":"Treatment of Acrylic Acid Production Wastewater Using a Submerged Anaerobic Membrane Bioreactor","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Atlantic Canada Opportunities Agency","keywords":"Bioreactor; Wastewater; Anaerobic exercise; Membrane bioreactor; Pulp and paper industry; Membrane; Production (economics); Acrylic acid; Chemistry; Sewage treatment; Environmental science; Waste management; Environmental engineering; Engineering; Biology; Biochemistry; Organic chemistry; Polymer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022264,0.0005225861,0.0005481121,0.0002133096,0.000405379,0.0006229004,0.0002950294,0.0005564751,0.0004714244],"category_scores_gemma":[0.0001456419,0.0001765481,0.0005809419,0.0002303145,0.000122142,0.0003490185,0.0003009091,0.0005097479,0.0003370638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331641,"about_ca_system_score_gemma":0.0005545211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003569005,"about_ca_topic_score_gemma":0.003341395,"domain_scores_codex":[0.9997903,0.00002768549,0.000029164,0.00004324372,0.00006453825,0.00004519146],"domain_scores_gemma":[0.9999446,0.000008388904,0.00001244571,0.00000558457,0.00001685102,0.00001220951],"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":[0.00006471125,0.00002443781,0.00008794,0.00002902618,0.000003971064,0.00002695545,0.000007830581,0.00008692418,0.9980956,0.00001069169,0.00002225678,0.001539689],"study_design_scores_gemma":[0.00001358942,0.000183601,0.001233695,0.000004460302,0.00001830322,0.00005249227,0.00003052753,0.001201502,0.9964695,0.00001733126,0.0007686449,0.00000643019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949526,0.0007508353,0.00286394,0.000170231,0.00008228551,0.00002496088,0.0001436751,0.00006190893,0.0009495672],"genre_scores_gemma":[0.9926581,0.0006959915,0.004025323,0.00004755663,0.00002130227,0.0000196567,0.0001799617,0.00001292456,0.00233926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003569005,"threshold_uncertainty_score":0.007096469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290455397181921,"score_gpt":0.1785128261392187,"score_spread":0.1556082721673995,"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."}}