{"id":"W2046858768","doi":"10.1016/j.seppur.2010.04.028","title":"Impact of molecular weight distribution of soluble microbial products on fouling in membrane bioreactors","year":2010,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Fouling; Chemistry; Membrane fouling; Chromatography; Fraction (chemistry); Membrane bioreactor; Membrane; Size-exclusion chromatography; Filtration (mathematics); Bioreactor; Molar mass distribution; Biochemistry; Organic chemistry; Polymer","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":[0.0003918566,0.0003538767,0.0003036165,0.0002615666,0.0002701833,0.000901735,0.0002271726,0.0004330596,0.00057411],"category_scores_gemma":[0.0008803047,0.0002687472,0.0002343006,0.0002595024,0.0002908086,0.0005373975,0.0002617031,0.0004153865,0.0001913705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736172,"about_ca_system_score_gemma":0.000311176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601515,"about_ca_topic_score_gemma":0.001012944,"domain_scores_codex":[0.9996883,0.00006295941,0.00003152758,0.00005183722,0.0000879603,0.0000774586],"domain_scores_gemma":[0.9993551,0.0002372403,0.0001737935,0.00003139848,0.0001156864,0.00008672078],"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":[0.0009239855,0.00007985975,0.0005319444,0.00002374953,0.0000149378,0.00002855139,0.00002307688,0.0005608556,0.9963022,0.00004327357,0.00001570813,0.001451804],"study_design_scores_gemma":[0.00001847759,0.0003610689,0.001928195,0.000002627819,0.0000186996,0.00002171626,0.00002403425,0.001215199,0.9962681,0.00001771157,0.000119249,0.000004964583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993806,0.0001334779,0.0002843296,0.00001687536,0.00000525344,0.000002429216,0.0000192855,0.000005701707,0.0001521466],"genre_scores_gemma":[0.9993429,0.0001322569,0.0002308579,0.00001506654,0.000005869117,0.000002768602,0.00002664465,0.000008485456,0.0002351395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601515,"threshold_uncertainty_score":0.004161954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008450895964917535,"score_gpt":0.2649767645592675,"score_spread":0.2565258685943499,"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."}}