{"id":"W4378226530","doi":"10.3390/pharmaceutics15061592","title":"Optimized Chitosan-Based Nanoemulsion Improves Luteolin Release","year":2023,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Canadian Light Source (Canada)","funders":"Government of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; College of Pharmacy and Nutrition, University of Saskatchewan; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Financiadora de Estudos e Projetos; Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Saskatchewan; Canadian Light Source","keywords":"Luteolin; Chitosan; Zeta potential; Dispersity; Chemistry; Solubility; Lookup table; Materials science; Chromatography; Chemical engineering; Nanotechnology; Flavonoid; Antioxidant; Organic chemistry; Nanoparticle; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001091131,0.0002955945,0.0002081632,0.0002013185,0.00008454337,0.0002181896,0.0001279031,0.0002570898,0.0007384261],"category_scores_gemma":[0.0001734388,0.00008615078,0.0002285088,0.0001252794,0.0001188777,0.0002451179,0.0001272223,0.0003161435,0.0001748355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724883,"about_ca_system_score_gemma":0.0001973368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009274317,"about_ca_topic_score_gemma":0.001963261,"domain_scores_codex":[0.9999171,0.000007883602,0.00001101537,0.0000214899,0.00002539587,0.00001710151],"domain_scores_gemma":[0.9999278,0.00001296368,0.00002546798,0.000003887744,0.00001934035,0.00001051448],"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":[0.00004020078,0.00001666882,0.0000299229,0.00005131936,0.000002751165,0.00002713827,0.000004900779,0.00009311871,0.998321,0.00002783758,0.00003129646,0.001353744],"study_design_scores_gemma":[0.00001229549,0.0001803508,0.0005309096,0.00000542582,0.0000143345,0.00004361659,0.000006368102,0.0009151708,0.9968622,0.000009091817,0.00141472,0.000005574756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880148,0.002331662,0.006936082,0.0001066744,0.00006798087,0.00007992644,0.0002642053,0.0001493576,0.002049378],"genre_scores_gemma":[0.986771,0.00134808,0.008101176,0.00007063091,0.00001019526,0.00004802024,0.0002241837,0.00004767268,0.003379041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009274317,"threshold_uncertainty_score":0.002470255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04746288473424894,"score_gpt":0.3050772866694048,"score_spread":0.2576144019351559,"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."}}