{"id":"W4401911765","doi":"10.1021/acs.biomac.4c00535","title":"Scalable Purification, Storage, and Release of Plant-Derived Nanovesicles for Local Therapy Using Nanostructured All-Cellulose Composite Membranes","year":2024,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Polysaccharides and Plant Cell Walls","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Kvantum-instituutti, Oulun Yliopisto; Academy of Finland","keywords":"Membrane; Cellulose; Chemical engineering; Filtration (mathematics); Composite number; Chemistry; Matrix (chemical analysis); Biocompatible material; Chromatography; Materials science; Nanotechnology; Organic chemistry; Biomedical engineering; Biochemistry; Composite material","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":[0.0001103222,0.0001635536,0.0001917763,0.000024054,0.0001110013,0.0001079289,0.0001468644,0.0001042323,0.00004438915],"category_scores_gemma":[0.000007453771,0.00007038172,0.000083966,0.0001608898,0.0001186166,0.00008496926,0.00002845409,0.00004062045,0.000002399054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001173639,"about_ca_system_score_gemma":0.00001433538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005927774,"about_ca_topic_score_gemma":0.00005593298,"domain_scores_codex":[0.9990814,0.00004508687,0.0002236791,0.0003074919,0.0001223373,0.0002200191],"domain_scores_gemma":[0.9995981,0.0001459088,0.00007397291,0.00005406234,0.00004137894,0.000086581],"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":[0.0001051213,0.00003265023,0.00003095901,0.00007285558,0.00005185813,0.00001491915,0.00008219245,0.000005758363,0.9675437,0.0002368891,0.0002166486,0.03160644],"study_design_scores_gemma":[0.0001787412,0.0001240563,0.0008498234,0.00007024112,0.00002955771,0.0000545592,0.00005717445,0.00663622,0.9815879,0.0003382366,0.009886012,0.0001874927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884334,0.009618761,0.000292172,0.0002475873,0.0001422981,0.0002936358,0.0008981638,0.00005995704,0.00001402496],"genre_scores_gemma":[0.998391,0.0006019152,0.0005222476,0.00007655513,0.0000707212,0.000008075483,0.0002445142,0.00000308315,0.00008186388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03141895,"threshold_uncertainty_score":0.2870083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02571385483990524,"score_gpt":0.2331349273058443,"score_spread":0.2074210724659391,"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."}}