{"id":"W2985965608","doi":"10.1089/ees.2019.0209","title":"Biofouling of an Aerated Membrane Reactor: Four Distinct Microbial Communities","year":2019,"lang":"en","type":"article","venue":"Environmental Engineering Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Queen's University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Extracellular polymeric substance; Biofouling; Membrane; Biofilm; Membrane fouling; Microfiltration; Microbial population biology; Fouling; Aeration; Bioreactor; Chemistry; Compartment (ship); Pulp and paper industry; Chemical engineering; Bacteria; Biology; Biochemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002656365,0.0004641555,0.0005278,0.0004091483,0.0003710086,0.0008968641,0.000338743,0.0006204084,0.0002208267],"category_scores_gemma":[0.0003020594,0.0001876714,0.0005690584,0.0002917787,0.0002963112,0.0004968568,0.0005169112,0.0004607875,0.00009466063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727448,"about_ca_system_score_gemma":0.0003157766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020259,"about_ca_topic_score_gemma":0.001123341,"domain_scores_codex":[0.9996551,0.00003644121,0.00003650626,0.000103777,0.000112341,0.00005578369],"domain_scores_gemma":[0.9998709,0.00002682568,0.00002511222,0.000009403272,0.00003867357,0.00002904752],"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":[0.0001574758,0.00007394539,0.002896548,0.00003415818,0.00001359235,0.0000479642,0.00008047505,0.0001800787,0.9945176,0.00002820697,0.000008449359,0.001961454],"study_design_scores_gemma":[0.00004196481,0.001005139,0.05690204,0.00002952728,0.000112309,0.000440738,0.0004189505,0.008596868,0.9314404,0.0001648134,0.000803581,0.00004376724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987531,0.0001567125,0.0008335289,0.00002075141,0.000004551669,0.00001612636,0.00008688097,0.00001268624,0.000115658],"genre_scores_gemma":[0.9914299,0.0003233844,0.00718869,0.00003676804,0.000008240302,0.00004291153,0.0004565023,0.00001063957,0.000503042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002020259,"threshold_uncertainty_score":0.004016936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00878088743762921,"score_gpt":0.196148276114129,"score_spread":0.1873673886764998,"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."}}