{"id":"W4388713790","doi":"10.1016/j.carpta.2023.100391","title":"Enhancing water resistance of regenerated cellulose films with organosilanes and cellulose nanocrystals for food packaging","year":2023,"lang":"en","type":"article","venue":"Carbohydrate Polymer Technologies and Applications","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation","keywords":"Cellulose; Ultimate tensile strength; Materials science; Wet strength; Food packaging; Relative humidity; Chemical engineering; Composite material; Penetration (warfare); Water vapor; Polymer chemistry; Chemistry; Organic chemistry; Food science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001822574,0.0002128378,0.0003107247,0.0001898795,0.000325298,0.00005645396,0.0002209977,0.00009828358,0.000006618155],"category_scores_gemma":[0.00004127196,0.000146267,0.00002660234,0.0005759722,0.0006326055,0.0001120088,0.0002881849,0.00008943723,0.000005490688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001642471,"about_ca_system_score_gemma":0.00002620337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001095969,"about_ca_topic_score_gemma":0.00005264278,"domain_scores_codex":[0.9985262,0.00002037892,0.0002880383,0.0005088492,0.0001555946,0.0005009755],"domain_scores_gemma":[0.9991198,0.0001685241,0.0001156465,0.0004104693,0.0001337883,0.00005176323],"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":[0.00002036757,0.00001584897,0.00005106152,0.0002278472,0.00002223261,0.000001991396,0.0001841677,0.000007134346,0.9947398,0.003971999,0.00009910865,0.0006583951],"study_design_scores_gemma":[0.000256168,0.00009221878,0.00001418614,0.0000580862,0.00002842283,0.000001862026,0.00216985,0.00007308686,0.9933971,0.002550169,0.0011518,0.0002070545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842562,0.006914197,0.006021737,0.0009559559,0.00002209033,0.0008881826,0.0001797247,0.0006909097,0.00007100591],"genre_scores_gemma":[0.9943243,0.0008143888,0.0023992,0.00001001301,0.00001732645,0.00119893,0.00004096016,0.00003374185,0.001161103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006814,"threshold_uncertainty_score":0.5964595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139921434477936,"score_gpt":0.2451012570851407,"score_spread":0.2311091136373471,"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."}}