{"id":"W2791008156","doi":"10.1002/pts.2366","title":"Chitosan‐based nanofibers as bioactive meat packaging materials","year":2018,"lang":"en","type":"article","venue":"Packaging Technology and Science","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Manitoba; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Active packaging; Chitosan; Nanofiber; Food packaging; Electrospinning; Shelf life; Materials science; Food science; Chemical engineering; Chemistry; Polymer; Composite material; Organic chemistry","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":[0.0001511712,0.0004351945,0.00009000103,0.0002078906,0.0000801729,0.0001607486,0.00012318,0.0003100977,0.0003710659],"category_scores_gemma":[0.0001358015,0.0001096158,0.0001641604,0.00009875481,0.0001023564,0.0002286017,0.00009657102,0.0001760005,0.0000943895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114309,"about_ca_system_score_gemma":0.0001118725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005583131,"about_ca_topic_score_gemma":0.0009613603,"domain_scores_codex":[0.9999131,0.00001138196,0.000006046664,0.00001811941,0.00003861469,0.00001271005],"domain_scores_gemma":[0.9999084,0.00001764573,0.00003219405,0.000005119864,0.00002234766,0.00001434565],"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":[0.0000148334,0.000005861317,0.00005281876,0.00004414789,0.00000234405,0.00002759929,0.000004516555,0.00007868464,0.9982641,0.00002824543,0.00001228301,0.001464426],"study_design_scores_gemma":[0.000004569873,0.0002187666,0.001926567,0.000007715395,0.0000127018,0.0001102854,0.000009119117,0.0006869371,0.9956126,0.00001893134,0.001386067,0.000005601124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838252,0.006215227,0.007189322,0.00009910487,0.00005776234,0.00006693344,0.0001367843,0.00007555667,0.002334111],"genre_scores_gemma":[0.9877127,0.00197267,0.008379275,0.00006777645,0.00001998133,0.00002716012,0.0001093119,0.00001255027,0.001698609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005583131,"threshold_uncertainty_score":0.001534045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008091837443165132,"score_gpt":0.2581799562030667,"score_spread":0.2500881187599016,"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."}}