{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243816,0.0001174693,0.0002256104,0.0001559828,0.00005099826,0.0001631319,0.0001290511,0.0001016063,0.000007725838],"category_scores_gemma":[0.00005822352,0.0001003945,0.00005038466,0.00006683917,0.00006226031,0.0006290049,0.0000608084,0.0001667373,1.216402e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004182463,"about_ca_system_score_gemma":0.00006280289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002073672,"about_ca_topic_score_gemma":0.000007074874,"domain_scores_codex":[0.9990885,0.00005455239,0.000321562,0.0001923749,0.0002349914,0.0001080473],"domain_scores_gemma":[0.9991899,0.0002628154,0.0002671035,0.00006498551,0.0001611886,0.00005407033],"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":[0.0003060519,0.00002555425,0.0002571137,0.00005479759,0.00007408894,0.00000851231,0.0003285197,0.0002936208,0.9960711,0.0003304898,0.000002293729,0.002247842],"study_design_scores_gemma":[0.0004432736,0.000120219,0.002380865,0.0003118456,0.00005661776,0.00009931182,0.00005994973,0.1025058,0.8902807,0.003637459,0.000006334376,0.00009764044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758492,0.001207638,0.1217888,0.0001438654,0.0007427802,0.0001377544,0.0001120447,0.000008362367,0.000009499498],"genre_scores_gemma":[0.977407,0.0001010053,0.02234559,0.00001585736,0.0001119326,0.000001100147,0.000003788405,0.00001176045,0.000001926236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1057904,"threshold_uncertainty_score":0.4093969,"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."}}