{"id":"W4316923292","doi":"10.3808/jeil.202200092","title":"Strategies for Mitigating MBR Membrane Biofouling","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Informatics Letters","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Biofouling; Extracellular polymeric substance; Membrane; Membrane bioreactor; Wastewater; Reuse; Membrane fouling; Sewage treatment; Chemistry; Bioreactor; Pulp and paper industry; Biochemical engineering; Environmental science; Environmental engineering; Waste management; Fouling; Bacteria; Biofilm; Engineering; Biology; Biochemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000700023,0.0009865745,0.0007425199,0.001087584,0.0004245828,0.001266654,0.0008316202,0.001823215,0.001265094],"category_scores_gemma":[0.000406421,0.0003344683,0.0006353142,0.0004939069,0.0005810286,0.001589506,0.001203201,0.001553253,0.0008023381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008859906,"about_ca_system_score_gemma":0.0009512437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008398968,"about_ca_topic_score_gemma":0.001129493,"domain_scores_codex":[0.9994831,0.00009299268,0.00003213778,0.00008614454,0.0002265709,0.0000788847],"domain_scores_gemma":[0.9998029,0.00004033863,0.00005575104,0.00001208942,0.00007097083,0.00001799975],"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":[0.00007224545,0.000201246,0.0007291246,0.007704172,0.0001324588,0.0005836666,0.0002947225,0.003572125,0.7507277,0.01913529,0.002429795,0.2144175],"study_design_scores_gemma":[0.00004166838,0.001182012,0.001588237,0.001508727,0.0002207857,0.001038164,0.0006338954,0.006947463,0.6585574,0.0102626,0.3179531,0.00006605896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1142988,0.6800536,0.1661784,0.01043682,0.0009322657,0.0004117264,0.0001636724,0.000612458,0.02691231],"genre_scores_gemma":[0.4491549,0.4540761,0.08395596,0.002459931,0.0004520425,0.0003761891,0.0001686463,0.00005396319,0.009302196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001823215,"threshold_uncertainty_score":0.006428361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221738666600656,"score_gpt":0.2250395942723343,"score_spread":0.2128222076063277,"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."}}