{"id":"W4384281938","doi":"10.1016/j.fpsl.2023.101124","title":"Structural, mechanical, antioxidant and antibacterial properties of soy protein isolate (SPI)-based edible food packaging films as influenced by nanocellulose (NC) and green extracted phenolic compounds from date palm leaves","year":2023,"lang":"en","type":"article","venue":"Food Packaging and Shelf Life","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"United Arab Emirates University","keywords":"Food packaging; Active packaging; Soy protein; Nanocellulose; Food science; Materials science; Antioxidant; Plasticizer; Cellulose; Antibacterial activity; Biopolymer; Environmentally friendly; Chemistry; Chemical engineering; Organic chemistry; Composite material; Polymer; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001057085,0.0002339009,0.0001093364,0.0001370723,0.0001140331,0.000141348,0.0001339282,0.0002068236,0.0009099659],"category_scores_gemma":[0.0001527063,0.0001481404,0.0001552147,0.0001194415,0.0001251717,0.0001900518,0.00007124888,0.0002909889,0.0001076501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058576,"about_ca_system_score_gemma":0.00006469318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004950171,"about_ca_topic_score_gemma":0.001089714,"domain_scores_codex":[0.9999404,0.000006293599,0.000004627646,0.00001528572,0.00001581016,0.00001755685],"domain_scores_gemma":[0.9998952,0.00002093169,0.00003441948,0.00000472779,0.00002519281,0.00001957261],"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":[0.00009137233,0.00001370608,0.00009383956,0.00002603446,0.000003017129,0.000024566,0.00001650466,0.00004975148,0.9991067,0.00001318262,0.00001379108,0.0005476368],"study_design_scores_gemma":[0.000004687668,0.0002183962,0.004296831,0.000004547662,0.00001640283,0.00003358339,0.00003394512,0.0005316999,0.9945611,0.000007755194,0.0002865465,0.000004379575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989623,0.0003490586,0.0002420006,0.00001290626,0.000007629646,0.000002804005,0.00006616427,0.000008136633,0.0003490596],"genre_scores_gemma":[0.9986676,0.0001775172,0.0003620138,0.00001355517,0.00000260667,0.000004266004,0.00007333577,0.000004874365,0.0006941335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009099659,"threshold_uncertainty_score":0.003044128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913087026357084,"score_gpt":0.2245598294212091,"score_spread":0.2054289591576382,"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."}}