{"id":"W1968116240","doi":"10.1007/s10570-014-0230-6","title":"Antimicrobial nanocomposite films made of poly(lactic acid)-cellulose nanocrystals (PLA-CNC) in food applications: part A—effect of nisin release on the inactivation of Listeria monocytogenes in ham","year":2014,"lang":"en","type":"article","venue":"Cellulose","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; Institut National de la Recherche Scientifique","funders":"ArboraNano","keywords":"Nisin; Nanocomposite; Listeria monocytogenes; Ultimate tensile strength; Antimicrobial; Lactic acid; Materials science; Cellulose; Fourier transform infrared spectroscopy; Food science; Food packaging; Chemistry; Nuclear chemistry; Chemical engineering; Composite material; Organic chemistry; Bacteria","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":[0.0001758571,0.0002725696,0.0001515785,0.0001460723,0.0001184915,0.0001701666,0.0001461384,0.0002256271,0.0006014925],"category_scores_gemma":[0.0001524531,0.0001396992,0.0001518321,0.00009757238,0.0001058563,0.0001751307,0.00008750843,0.000255472,0.00007816334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139139,"about_ca_system_score_gemma":0.0001372462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008150623,"about_ca_topic_score_gemma":0.00183605,"domain_scores_codex":[0.9999161,0.00001142031,0.000009178636,0.00002049432,0.0000249255,0.00001795046],"domain_scores_gemma":[0.9999036,0.00003168715,0.00002066954,0.000006401319,0.00001921259,0.00001853044],"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":[0.00006289594,0.00001266592,0.00003297969,0.00001815905,0.000001491213,0.00001150772,0.000003005747,0.00003478333,0.9993474,0.000008872223,0.00000696691,0.0004591884],"study_design_scores_gemma":[0.000003106574,0.0001018659,0.0003849108,0.00000172694,0.000004369148,0.00001693907,0.000002839468,0.0002579096,0.9990771,0.000001583373,0.0001465797,0.000001058564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964109,0.00129449,0.001311317,0.00002264719,0.00001980113,0.00001351754,0.00004985682,0.00002413304,0.0008533318],"genre_scores_gemma":[0.9955591,0.0006291838,0.002410158,0.00001857845,0.000006922784,0.00001502247,0.00006917126,0.00001068943,0.001281199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008150623,"threshold_uncertainty_score":0.002012193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374782371104985,"score_gpt":0.2361695873506107,"score_spread":0.2224217636395608,"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."}}