{"id":"W4417111296","doi":"10.1111/1541-4337.70349","title":"Functionality Enhancement of Pullulan‐Based Composites for Food Packaging Applications","year":2025,"lang":"en","type":"article","venue":"Comprehensive Reviews in Food Science and Food Safety","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Scheme for Promotion of Academic and Research Collaboration; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Food packaging; Pullulan; Biopolymer; Active packaging; Sustainable production; Food industry; Food processing; Boosting (machine learning)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001658916,0.0002866411,0.0007294732,0.0004068407,0.0005447016,0.00008776935,0.0006554456,0.00006327185,0.00002057516],"category_scores_gemma":[0.0001409135,0.0002600189,0.0001468058,0.001629027,0.0007623654,0.0003073837,0.000279026,0.0001376601,0.000008702829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785468,"about_ca_system_score_gemma":0.0003121115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004217175,"about_ca_topic_score_gemma":0.00002940904,"domain_scores_codex":[0.9970727,0.0001444033,0.001004922,0.0008113804,0.0004529984,0.0005136108],"domain_scores_gemma":[0.9977414,0.0004259879,0.0003788861,0.0006602651,0.0006773032,0.0001161377],"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":[0.00009204812,0.0002430707,0.001590781,0.001294644,0.00002749865,1.275191e-7,0.0001624182,0.00008997443,0.9560177,0.02587382,0.0001338216,0.0144741],"study_design_scores_gemma":[0.002132797,0.001867459,0.006278428,0.001488697,0.00009741903,0.000005300341,0.0002599246,0.001395102,0.8247172,0.006082279,0.155034,0.0006414081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139308,0.05874858,0.311256,0.001644174,0.001040475,0.009974602,0.0005862096,0.0001376355,0.002681587],"genre_scores_gemma":[0.9839198,0.000391142,0.01437552,0.0006048992,0.00003290784,0.0006205962,0.000030062,0.00001177936,0.00001331684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.369989,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527071105269966,"score_gpt":0.3161399390128181,"score_spread":0.2708692279601184,"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."}}