{"id":"W3154729321","doi":"10.11113/amst.v25n1.210","title":"Fouling Challenges in Membrane Bioreactor","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Membrane Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Membrane bioreactor; Fouling; Bioreactor; Biochemical engineering; Membrane fouling; Process engineering; Environmental science; Engineering; Sewage treatment; Waste management; Computer science; Membrane; Chemistry","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":[0.001281873,0.0002634541,0.0005608199,0.001134246,0.0001443364,0.00004344452,0.002140128,0.0002852953,0.0003797688],"category_scores_gemma":[0.0006113323,0.000224652,0.00007921764,0.004356692,0.002046439,0.000604522,0.0005466178,0.000833708,0.0002429658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002567127,"about_ca_system_score_gemma":0.0001265686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000483147,"about_ca_topic_score_gemma":0.00001554529,"domain_scores_codex":[0.9969431,0.00001819325,0.000849749,0.000613371,0.0009262486,0.0006492982],"domain_scores_gemma":[0.9985996,0.00007390102,0.0005997788,0.0004562266,0.00005087253,0.0002195578],"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":[0.00008455465,0.00007309989,0.0003471368,0.00002064249,0.000006251671,0.00005502697,0.0007163,0.002532272,0.9601414,0.005975896,0.00004722607,0.03000024],"study_design_scores_gemma":[0.000928462,0.0003347479,0.0005720997,0.00002732886,0.0000138217,0.0001192454,0.002665159,0.0007415133,0.979228,0.003647757,0.01142332,0.0002985089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461545,0.0003101583,0.0002468139,0.02463768,0.0002043969,0.0003510196,0.000001255009,0.0002674393,0.02782669],"genre_scores_gemma":[0.9917785,0.0009602507,0.006790307,0.0003759523,0.00005402234,0.00001132706,2.426426e-7,0.00001948063,0.000009895356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04562398,"threshold_uncertainty_score":0.9161044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351331700373655,"score_gpt":0.2581235716103256,"score_spread":0.2229904015729601,"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."}}