{"id":"W4307483131","doi":"10.1016/j.scitotenv.2022.159812","title":"Interaction of operating HRT and temperature on fouling of tertiary membranes treating municipal wastewater","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"China Scholarship Council","keywords":"Fouling; Effluent; Filtration (mathematics); Membrane fouling; Operating temperature; Hydraulic retention time; Chemistry; Wastewater; Membrane; Environmental engineering; Pulp and paper industry; Environmental science; Engineering; Mathematics","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":[0.0005234251,0.0002913575,0.0004428635,0.0002117504,0.0003060376,0.0005810859,0.0002796465,0.0005072327,0.001729021],"category_scores_gemma":[0.001516368,0.0001949352,0.0004915377,0.0002533189,0.00038397,0.0004096995,0.0001826978,0.0004192213,0.00023135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512373,"about_ca_system_score_gemma":0.0003655954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010982,"about_ca_topic_score_gemma":0.003119759,"domain_scores_codex":[0.9996463,0.0001024744,0.0000311271,0.00004643469,0.00006552476,0.0001081514],"domain_scores_gemma":[0.9989457,0.0006490849,0.0001253782,0.00004096654,0.0001684179,0.00007056681],"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":[0.008399562,0.0003430557,0.00507204,0.0002112163,0.00009922344,0.000161276,0.0002174519,0.001114906,0.9772559,0.00007418478,0.0001955635,0.006855614],"study_design_scores_gemma":[0.00003770291,0.002169272,0.03401955,0.00001787582,0.00009607927,0.0000958788,0.0002327871,0.00276414,0.9598843,0.00005428225,0.0005923457,0.00003581479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992299,0.0002504084,0.0001330385,0.00002529481,0.00001979827,0.000003780866,0.00006430216,0.000005484271,0.0002679696],"genre_scores_gemma":[0.9993461,0.00009986599,0.0001514768,0.00001977397,0.000009120289,0.000002748449,0.00004540309,0.000004773804,0.0003207424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003010982,"threshold_uncertainty_score":0.005986929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116649385780301,"score_gpt":0.2293128364442336,"score_spread":0.2176478978662035,"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."}}