{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006105167,0.0006898067,0.001001635,0.0003589296,0.0006745339,0.0006356954,0.0004431191,0.0003618707,0.00005399626],"category_scores_gemma":[0.0001620924,0.0006063812,0.00009994641,0.0005699226,0.0005322392,0.0008352617,0.0004923589,0.0005345071,0.00002091765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002024457,"about_ca_system_score_gemma":0.0001628413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008073857,"about_ca_topic_score_gemma":0.00005286766,"domain_scores_codex":[0.9959728,0.0003109729,0.0009814496,0.001174237,0.0006071231,0.0009534603],"domain_scores_gemma":[0.9980578,0.0001641895,0.0005450714,0.0006269127,0.0001512363,0.0004547936],"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":[0.0003409279,0.00005431123,0.003994387,0.0004916016,0.0001210384,0.00001062429,0.001458868,0.00001170626,0.9930498,0.00008244702,0.0001356749,0.0002485939],"study_design_scores_gemma":[0.002562622,0.001052106,0.005429524,0.000999061,0.0001065938,0.0000225383,0.0005873741,0.002893166,0.9847155,0.000591167,0.0001967584,0.0008435595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953449,0.001320556,0.00005448922,0.0007359901,0.000388989,0.0009171906,0.0007305091,0.0004797412,0.00002763569],"genre_scores_gemma":[0.9978157,0.00008249086,0.001390317,0.0002231954,0.0001524014,0.0000476828,0.0001318621,0.0001072782,0.0000490706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00833429,"threshold_uncertainty_score":0.9996387,"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."}}