{"id":"W4380154217","doi":"10.1016/j.ijbiomac.2023.125236","title":"A smart gating nanocellulose membrane showing selective separation and self-cleaning performance","year":2023,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Key Technologies Research and Development Program; National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions","keywords":"Nanocellulose; Permeance; Membrane; Chemical engineering; Materials science; Carbon nanotube; Gating; Cellulose; Bar (unit); Isopropyl alcohol; Nanotechnology; Chemistry","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":[0.00009923975,0.0002636397,0.0002257301,0.00009666361,0.0001786865,0.0002876006,0.0003553632,0.0006164055,0.0005749791],"category_scores_gemma":[0.0001361569,0.000108948,0.0001596869,0.0001298995,0.0001707205,0.000270224,0.0002153911,0.0003561837,0.0002808004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000262539,"about_ca_system_score_gemma":0.0002110438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003746684,"about_ca_topic_score_gemma":0.0004362001,"domain_scores_codex":[0.9999232,0.000006051421,0.000003745242,0.00002295837,0.00002113004,0.00002296426],"domain_scores_gemma":[0.999923,0.00001376017,0.00001520908,0.00001239376,0.00001419215,0.00002145214],"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":[0.00001393765,0.000004936437,0.00002963761,0.0000090762,0.000001076913,0.00002343386,0.000003722326,0.00002629869,0.9989484,0.0000761253,0.00003797326,0.0008254514],"study_design_scores_gemma":[0.000002904586,0.00002621955,0.0003072569,0.000001020859,0.000002833927,0.00006674886,0.000003524276,0.0007352613,0.9980453,0.00002637172,0.0007793503,0.000003152393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785175,0.001180643,0.01710942,0.0004162508,0.000103606,0.00002525567,0.0002037069,0.0004691627,0.001974615],"genre_scores_gemma":[0.9882872,0.000495009,0.009044963,0.0001400722,0.00001535803,0.00001994304,0.0001367924,0.00003791836,0.001822794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006164055,"threshold_uncertainty_score":0.001923501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991132024927026,"score_gpt":0.2714614046999664,"score_spread":0.2515500844506961,"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."}}