{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001006127,0.0003588477,0.0003943886,0.001475529,0.001634226,0.0003847913,0.001172854,0.0001930235,0.0002299938],"category_scores_gemma":[0.0002083513,0.0003253575,0.00004149249,0.002580973,0.006504866,0.0007805158,0.0006009241,0.0002148231,0.0004424622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006458099,"about_ca_system_score_gemma":0.0002535115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006140793,"about_ca_topic_score_gemma":0.000009662142,"domain_scores_codex":[0.9967296,0.00007412893,0.0003768024,0.001169862,0.0005297624,0.001119861],"domain_scores_gemma":[0.9984621,0.00008649736,0.000230037,0.0008451593,0.0001682593,0.0002079166],"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":[0.00003108907,0.00002635185,0.005294246,0.00001396724,0.000005760951,0.00001584997,0.0004162508,8.084716e-7,0.9812961,0.01176391,0.00003424351,0.001101385],"study_design_scores_gemma":[0.0003919841,0.0002198921,0.001356424,0.000118862,0.00002248732,0.0001252989,0.0004089091,0.000123175,0.9912513,0.00518999,0.0003826834,0.0004089539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884642,0.0001104964,0.001425467,0.002276389,0.001083333,0.0002999244,0.00001465127,0.0008698036,0.00545568],"genre_scores_gemma":[0.985418,0.000005231305,0.01387287,0.0004691584,0.0001073712,0.00002671513,0.000002567042,0.00003143386,0.00006662204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124474,"threshold_uncertainty_score":0.9999198,"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."}}