{"id":"W2048518428","doi":"10.1007/s10570-014-0406-0","title":"Antimicrobial nanocomposite films made of poly(lactic acid)–cellulose nanocrystals (PLA–CNC) in food applications—part B: effect of oregano essential oil release on the inactivation of Listeria monocytogenes in mixed vegetables","year":2014,"lang":"en","type":"article","venue":"Cellulose","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; Université du Québec; Institut National de la Recherche Scientifique","funders":"ArboraNano; FPInnovations","keywords":"Listeria monocytogenes; Nanocomposite; Antimicrobial; Lactic acid; Cellulose; Materials science; Listeria; Food science; Nanocrystal; Nanocellulose; Chemistry; Bacteria; Composite material; Organic chemistry; Nanotechnology; Biology","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":[0.001183376,0.0003958493,0.0008385238,0.0004733942,0.00007915551,0.00004960531,0.0006591048,0.0001960212,0.00008726096],"category_scores_gemma":[0.0001364966,0.0003279293,0.0001775318,0.0008078897,0.0002929598,0.0002832828,0.0002115549,0.0002012726,0.00002614508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009193783,"about_ca_system_score_gemma":0.00008344962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003236723,"about_ca_topic_score_gemma":0.00007147405,"domain_scores_codex":[0.9965651,0.0008411992,0.001154354,0.0005735393,0.0004081762,0.0004576035],"domain_scores_gemma":[0.997246,0.0007170724,0.0009827059,0.0008647252,0.0001089043,0.00008061757],"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":[0.001049679,0.0004370737,0.001071416,0.0009345773,0.00002442179,0.000002961949,0.000424012,0.00009850408,0.9933593,0.0006434448,0.00004811724,0.001906519],"study_design_scores_gemma":[0.001702206,0.0005457478,0.0009876698,0.0006041417,0.00005479766,0.000007270943,0.00002329003,0.0002560114,0.9953012,0.00006465168,0.0001722325,0.0002807308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973224,0.0007032531,0.0003053634,0.00007163547,0.0003632427,0.0007712368,0.00009241219,0.00003675747,0.0003336347],"genre_scores_gemma":[0.9988558,0.00002074753,0.0006714674,0.0000251695,0.00007580775,0.0001366541,0.00005485133,0.00005508932,0.0001044127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001941975,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009637769116013122,"score_gpt":0.2240446129537751,"score_spread":0.214406843837762,"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."}}