{"id":"W4411086107","doi":"10.1016/j.foodchem.2025.145038","title":"Chitosan/PEG nanoparticle-embedded oleogels improve blueberry derived resveratrol bioavailability and antioxidant capacity","year":2025,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Food Chemistry and Fat Analysis","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; British Columbia Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioavailability; Resveratrol; Antioxidant capacity; Antioxidant; Chitosan; PEG ratio; Nanoparticle; Chemistry; Polyphenol; Food science; Nanotechnology; Pharmacology; Biochemistry; Materials science; Business; Medicine","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":[0.00006691564,0.0002406257,0.0001764629,0.0001283628,0.00008163337,0.0001932738,0.000123251,0.0002751959,0.001306158],"category_scores_gemma":[0.0001034728,0.0001082686,0.0002357334,0.00006351838,0.00009718053,0.0002388073,0.0001522321,0.0003294283,0.000199942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649751,"about_ca_system_score_gemma":0.0000977538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006140589,"about_ca_topic_score_gemma":0.001501054,"domain_scores_codex":[0.999947,0.000004462131,0.000003502334,0.00001470287,0.00001319735,0.00001718695],"domain_scores_gemma":[0.9999498,0.000008697541,0.00001528609,0.000004014116,0.00001084121,0.00001137354],"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":[0.00004777488,0.000007849289,0.00002701761,0.00001906464,0.000003390654,0.00001515131,0.000003993208,0.00003155228,0.999213,0.00001424903,0.00001592781,0.0006010872],"study_design_scores_gemma":[0.000006296834,0.00009911531,0.0006924322,0.000002638446,0.0000182797,0.00002695342,0.000007485038,0.0004756773,0.9979473,0.000008408459,0.0007127158,0.000002768519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961147,0.0007636648,0.001739898,0.00005591864,0.00002773374,0.00001500647,0.0001097086,0.00006570492,0.001107498],"genre_scores_gemma":[0.9947818,0.0003689082,0.001573614,0.00005202497,0.000006142437,0.000007544382,0.0001053294,0.00002277198,0.003081882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001306158,"threshold_uncertainty_score":0.004369497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008942991109685277,"score_gpt":0.1936278692263498,"score_spread":0.1846848781166646,"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."}}