{"id":"W2782021824","doi":"10.1016/j.jfoodeng.2018.01.001","title":"Design of dipalmitoyl lecithin liposomes loaded with quercetin and rutin and their release kinetics from carboxymethyl cellulose edible films","year":2018,"lang":"en","type":"article","venue":"Journal of Food Engineering","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico","keywords":"Rutin; Quercetin; Chemistry; Flavonols; Liposome; Carboxymethyl cellulose; Chromatography; Polyphenol; Lecithin; Phospholipid; Zeta potential; Antioxidant; Organic chemistry; Biochemistry; Materials science; Nanotechnology; Membrane; Sodium","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":[0.0001188556,0.0001024103,0.0001784093,0.00002471134,0.00002972028,0.00003362908,0.00008126752,0.00004975335,0.0000288229],"category_scores_gemma":[0.00007053483,0.00003898398,0.00002143671,0.0001334964,0.00004163997,0.00007651268,0.00002183413,0.00009818109,2.83366e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004870518,"about_ca_system_score_gemma":0.000007608297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002530446,"about_ca_topic_score_gemma":0.000009478033,"domain_scores_codex":[0.9994696,0.00002041286,0.0002155109,0.00008971654,0.00009738161,0.0001073671],"domain_scores_gemma":[0.9994603,0.0001809284,0.0001472176,0.00002516242,0.0001023768,0.00008401861],"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":[0.00005103633,0.00002065459,0.0002298681,0.00001665468,0.00002483016,0.00000159175,0.0004239671,0.0007496254,0.9958362,0.00000915724,0.00003991837,0.002596524],"study_design_scores_gemma":[0.0003103304,0.00161697,0.007747028,0.0001782326,0.00002315379,0.0000320098,0.0002332866,0.002928467,0.9863333,0.00007952199,0.0003848112,0.0001329617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950384,0.001551363,0.003147057,0.0001197544,0.00006041512,0.00004697495,0.000006469155,0.00001127696,0.00001827545],"genre_scores_gemma":[0.9935266,0.000137286,0.00612562,0.00001989926,0.0001753908,4.705944e-7,0.000001186005,0.00000165415,0.00001183299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009502945,"threshold_uncertainty_score":0.1589721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404135865591757,"score_gpt":0.1772169687854919,"score_spread":0.1631756101295743,"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."}}