{"id":"W4401951844","doi":"10.18280/ijdne.190417","title":"Nanoencapsulation of Lycopene from Tomato Waste Using Chitosan and Alginate for Enhanced Stability and Antioxidant Activity","year":2024,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lycopene; Chitosan; Antioxidant; Food science; Chemistry; Biotechnology; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001012615,0.0002682781,0.0001551428,0.0001908397,0.0001120529,0.0002486029,0.0001582295,0.0002603055,0.0006958211],"category_scores_gemma":[0.0001309557,0.0001298975,0.0002716569,0.0001025962,0.000115979,0.000302479,0.0001903173,0.0003054142,0.0001491253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201166,"about_ca_system_score_gemma":0.0002001447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006708644,"about_ca_topic_score_gemma":0.001691548,"domain_scores_codex":[0.9999299,0.000004821601,0.000008530779,0.00001844806,0.00002001571,0.00001826791],"domain_scores_gemma":[0.9999074,0.00001406963,0.00003156921,0.000007349528,0.00001886382,0.00002078368],"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":[0.00002450352,0.000008501722,0.00002535912,0.00001460724,0.000001863869,0.00001766973,0.000007703039,0.00004504558,0.9993572,0.00001254967,0.000006842175,0.0004780753],"study_design_scores_gemma":[0.000003745721,0.00008511307,0.000348238,0.000002287867,0.000006122153,0.000021166,0.000006627073,0.0004043326,0.998875,0.000003913618,0.000240748,0.000002839893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974039,0.0003832635,0.001526352,0.00002909844,0.00001852748,0.00001190302,0.00004188046,0.00002798538,0.0005568854],"genre_scores_gemma":[0.9961367,0.0002371966,0.001567274,0.00002197586,0.000004753303,0.00001130356,0.00005113393,0.00001287074,0.001956727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006958211,"threshold_uncertainty_score":0.00232774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443918276489491,"score_gpt":0.2797303683326884,"score_spread":0.2652911855677935,"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."}}