{"id":"W2156658508","doi":"10.1016/j.watres.2008.09.037","title":"Modelling the production and degradation of soluble microbial products (SMP) in membrane bioreactors (MBR)","year":2008,"lang":"en","type":"article","venue":"Water Research","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Membrane bioreactor; Membrane fouling; Activated sludge; Fouling; Degradation (telecommunications); Bioreactor; Environmental science; Pulp and paper industry; Membrane reactor; Activated sludge model; Chemistry; Environmental engineering; Membrane; Wastewater; Computer science; Engineering","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":[0.001078915,0.00006578225,0.00008319623,0.0001221072,0.0001524671,0.00001574878,0.0001932465,0.00005178953,0.00009064263],"category_scores_gemma":[0.000148783,0.00003897503,0.00001003304,0.0003952153,0.0006026848,0.0002504572,0.000190769,0.0002114159,0.00006783233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280574,"about_ca_system_score_gemma":0.00001234991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103326,"about_ca_topic_score_gemma":0.0001469393,"domain_scores_codex":[0.998786,0.0001186669,0.0001730247,0.0002855398,0.0003725837,0.0002641293],"domain_scores_gemma":[0.9996386,0.00001675875,0.00002415153,0.0002719322,0.00003009122,0.0000185071],"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":[0.00002909281,0.00004464003,0.004381644,0.00001982932,0.000001986453,0.000001660634,0.001649332,0.007278993,0.9854873,0.00002602142,0.0007609284,0.0003186002],"study_design_scores_gemma":[0.00007217094,0.0000322271,0.000757144,0.000009763546,9.324235e-7,0.00001130116,0.00008735642,0.00387943,0.9940626,0.0001607408,0.000874679,0.00005166066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969357,0.00002410533,0.0000341851,0.002114814,0.00004981744,0.0004356878,4.419544e-7,0.00002381678,0.0003814515],"genre_scores_gemma":[0.9964982,0.0001198352,0.0005640394,0.000003758175,0.00001702939,0.00002237517,0.000004817364,0.000007307072,0.002762695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008575321,"threshold_uncertainty_score":0.3179613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09691491611325441,"score_gpt":0.2963708433952595,"score_spread":0.1994559272820051,"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."}}