{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553315,0.000492771,0.0001965708,0.0003490579,0.0001068853,0.0002347499,0.0001758061,0.0003840569,0.0009803771],"category_scores_gemma":[0.0001620619,0.0001674711,0.0002700805,0.0001901434,0.00009023684,0.0004291619,0.0002110659,0.0005153507,0.0003474533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757855,"about_ca_system_score_gemma":0.000149305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952328,"about_ca_topic_score_gemma":0.0005868141,"domain_scores_codex":[0.9999204,0.00001244738,0.000007534255,0.00001826127,0.00002661077,0.00001476765],"domain_scores_gemma":[0.999959,0.00001038665,0.00001195614,0.000001979933,0.00001075967,0.000005989948],"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":[0.00001914689,0.00001658479,0.00006327937,0.001567081,0.00001942275,0.0001267529,0.00002844494,0.0002599122,0.9757555,0.0008072869,0.0003364634,0.02100006],"study_design_scores_gemma":[0.000007987723,0.0003038971,0.001666708,0.000233401,0.0000812558,0.0005189648,0.00004375703,0.001413223,0.9270895,0.0003967355,0.0682219,0.00002268695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5369623,0.3480143,0.06439977,0.00109866,0.0008437556,0.0002845113,0.0007780766,0.0005990212,0.04701974],"genre_scores_gemma":[0.8229166,0.1370555,0.02976246,0.0004647751,0.0001744635,0.0001731776,0.0004032887,0.0001002898,0.00894943],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0009803771,"threshold_uncertainty_score":0.003279686,"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."}}