{"id":"W2913546157","doi":"10.5004/dwt.2019.23423","title":"Investigation into the temperature effect on NOM fouling and cleaning in submerged polymeric membrane systems","year":2019,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fouling; Membrane fouling; Membrane; Biofouling; Chemical engineering; Polymeric membrane; Materials science; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000389563,0.0002600513,0.0003054054,0.0001791598,0.0001672539,0.0002461598,0.0001829759,0.0003442562,0.0005139866],"category_scores_gemma":[0.0004342627,0.0001561396,0.0004871963,0.0001881873,0.0001582795,0.0003363092,0.0001246941,0.0003145162,0.0001786763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221255,"about_ca_system_score_gemma":0.0001473414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009971776,"about_ca_topic_score_gemma":0.0008968979,"domain_scores_codex":[0.9997259,0.00006047796,0.00002594425,0.00004312209,0.0001036132,0.00004092592],"domain_scores_gemma":[0.9996425,0.0001026065,0.00009933663,0.00002650428,0.0001085509,0.00002047067],"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":[0.0001048721,0.0000216083,0.0005537028,0.00009095039,0.00001399132,0.000028703,0.000021987,0.0002031735,0.9977162,0.00001150445,0.00001443866,0.001218804],"study_design_scores_gemma":[0.000003660426,0.0004499706,0.006927699,0.000007431591,0.00002519929,0.00004115012,0.00002733131,0.00109265,0.9910151,0.000009502703,0.0003917307,0.000008601893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964228,0.001712423,0.001293777,0.00002291722,0.00002157041,0.00001675902,0.0001046248,0.00001992773,0.0003851517],"genre_scores_gemma":[0.9973144,0.0007686432,0.001410235,0.00001997015,0.0000070265,0.00001529209,0.0000940477,0.000006555092,0.0003638217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009971776,"threshold_uncertainty_score":0.002060235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142222785503748,"score_gpt":0.2119255623380955,"score_spread":0.2037833395525917,"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."}}