{"id":"W3006379418","doi":"10.1016/j.memsci.2020.117956","title":"Incorporation of oleic acid-modified Ag@ZnO core-shell nanoparticles into thin film composite membranes for enhanced antifouling and antibacterial properties","year":2020,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Jilin Scientific and Technological Development Program; National Key Research and Development Program of China","keywords":"Membrane; Interfacial polymerization; Zeta potential; Chemical engineering; Nanocomposite; Thin-film composite membrane; Contact angle; Nanoparticle; Materials science; Polyamide; Fourier transform infrared spectroscopy; Nuclear chemistry; Polymer chemistry; Chemistry; Nanotechnology; Polymer; Composite material; Reverse osmosis","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":[0.001133441,0.0001853428,0.0004180393,0.0001330973,0.0002866429,0.0001169475,0.0006939111,0.00009957735,0.00004638483],"category_scores_gemma":[0.0007671529,0.0001420545,0.00007626675,0.0006708565,0.001340394,0.001388904,0.000225213,0.0001977002,0.000008395245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005934892,"about_ca_system_score_gemma":0.0001023613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002172698,"about_ca_topic_score_gemma":0.000009636829,"domain_scores_codex":[0.9978027,0.00005096101,0.0007880229,0.0003501105,0.0007365549,0.0002716753],"domain_scores_gemma":[0.9985678,0.00008303166,0.0008428819,0.0001966137,0.0001449589,0.0001646962],"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":[0.0004012613,0.00004517133,0.0004178738,0.0001779336,0.000008073159,0.000003008787,0.001758199,0.01320892,0.982838,0.00006789638,0.00002303107,0.001050684],"study_design_scores_gemma":[0.000833766,0.0004799995,0.0009658609,0.00008396862,0.00002483985,0.00001986601,0.0003917267,0.02861149,0.9679725,0.0003950128,0.00005847556,0.0001625124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959682,0.0001377738,0.001814813,0.00134054,0.0002339134,0.0003542252,0.000004589304,0.00003840756,0.000107576],"genre_scores_gemma":[0.9898566,0.0001347019,0.00973369,0.000181065,0.00006424993,0.000004372816,0.000001279017,0.00001109903,0.00001295833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01540257,"threshold_uncertainty_score":0.5792813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656146031498063,"score_gpt":0.2625161194546488,"score_spread":0.2259546591396682,"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."}}