{"id":"W3044035953","doi":"10.1007/s10570-020-03325-0","title":"A cellulose-based nanofiltration membrane with a stable three-layer structure for the treatment of drinking water","year":2020,"lang":"en","type":"article","venue":"Cellulose","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Nanofiltration; Membrane; Interfacial polymerization; Chemical engineering; Cellulose; Materials science; Polyamide; Phase inversion; Regenerated cellulose; Covalent bond; Polymerization; Bacterial cellulose; Water treatment; Chromatography; Polymer chemistry; Chemistry; Polymer; Composite material; Organic chemistry; Monomer; Environmental engineering; Environmental science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006297089,0.0001815991,0.0001852274,0.00001998625,0.0001149891,0.00003281165,0.0002366638,0.00007757592,0.001788455],"category_scores_gemma":[0.000009837893,0.00009094108,0.00006481134,0.0001617382,0.0001722643,0.0001140384,0.0000289931,0.00005332354,0.0000500666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007806708,"about_ca_system_score_gemma":0.00001703709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009915973,"about_ca_topic_score_gemma":0.0002831033,"domain_scores_codex":[0.9989728,0.00002116307,0.0002042769,0.0003096704,0.0002486668,0.000243425],"domain_scores_gemma":[0.9994353,0.00008628841,0.00009301615,0.0003203827,0.00001487039,0.00005012763],"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":[0.0002216726,0.00008813047,0.002235986,0.00003594071,0.00003086057,0.000003028907,0.001341442,0.01253825,0.9810122,0.0001285082,0.0002274143,0.002136558],"study_design_scores_gemma":[0.000856523,0.0006871329,0.0002617234,0.000005060359,0.00005384783,8.144116e-7,0.00008116591,0.02366151,0.9635917,0.0001587494,0.0105101,0.0001316975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730263,0.00007336802,0.02356331,0.001556697,0.0000508487,0.001115324,0.00001561577,0.0001030211,0.0004955662],"genre_scores_gemma":[0.9950264,0.000008911999,0.004211925,0.0001691647,0.00003127567,0.0000871222,0.00003817201,0.00002117222,0.0004058546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200015,"threshold_uncertainty_score":0.9991241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364315314225998,"score_gpt":0.2209274651411017,"score_spread":0.1972843119988417,"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."}}