{"id":"W4380742966","doi":"10.1016/j.seppur.2023.124343","title":"Nanofiltration membranes fabricated by plant polyphenol-intermediated MXene and polyethyleneimine layer-by-layer self-assembly for efficient dye/salt separation","year":2023,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Science Foundation of Zhejiang Province; Key Technology Research and Development Program of Shandong","keywords":"Nanofiltration; Polyelectrolyte; Permeance; Membrane; Chemical engineering; Layer by layer; Coating; Bilayer; Aqueous solution; Tannic acid; Layer (electronics); Chemistry; Substrate (aquarium); Polyphenol; Materials science; Chromatography; Organic chemistry; Antioxidant; Polymer; Permeation; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004622538,0.0003495105,0.0003372525,0.0004457152,0.0004617924,0.0001169382,0.00029452,0.0005515885,0.00007716324],"category_scores_gemma":[0.0001621322,0.0003468701,0.00004399518,0.001297859,0.0002944745,0.0003221236,0.0001085647,0.000186234,0.0002232176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249534,"about_ca_system_score_gemma":0.00002964031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005997075,"about_ca_topic_score_gemma":0.00005465195,"domain_scores_codex":[0.9975823,0.00008887817,0.0006587928,0.0008719606,0.0003278978,0.0004702419],"domain_scores_gemma":[0.9988191,0.0001490382,0.000385138,0.0004656733,0.00006804498,0.0001129951],"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":[0.00007220327,0.0001237035,0.0007746447,0.00003911365,0.00002900562,7.810139e-7,0.0003600489,0.0002501531,0.9606329,0.002111415,0.029896,0.00571005],"study_design_scores_gemma":[0.001002254,0.0003070602,0.001500673,0.00001096963,0.00004518088,0.00002016318,0.0003709169,0.07030258,0.8858542,0.0008910838,0.03925813,0.0004367711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756168,0.0005302439,0.01079865,0.008578589,0.0001855111,0.001553647,0.0002339987,0.002172947,0.0003295823],"genre_scores_gemma":[0.9944501,0.0008563522,0.001024481,0.00020558,0.0000260399,0.0006239666,0.001807244,0.00003857392,0.0009676558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07477866,"threshold_uncertainty_score":0.9998983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472232650004715,"score_gpt":0.2735246928657002,"score_spread":0.2588023663656531,"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."}}