{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001269171,0.0003494736,0.0007391904,0.0004234982,0.0000653332,0.0000395958,0.0005997953,0.000175231,0.00009156911],"category_scores_gemma":[0.0001524083,0.0002885245,0.0001552694,0.0007512667,0.0002503974,0.0002504115,0.0001736889,0.0001987039,0.00003024396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009885327,"about_ca_system_score_gemma":0.00006877926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720183,"about_ca_topic_score_gemma":0.00003997845,"domain_scores_codex":[0.99686,0.0007399803,0.001111188,0.0005208297,0.0003599226,0.00040804],"domain_scores_gemma":[0.997301,0.0007244606,0.000938491,0.0008710921,0.0000908616,0.00007403135],"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":[0.000770824,0.0004136167,0.00212413,0.0005027202,0.00001572536,0.00000231284,0.0005433672,0.0000672894,0.9932069,0.0005384762,0.00008084685,0.001733743],"study_design_scores_gemma":[0.001382275,0.0007568997,0.001462342,0.0005291528,0.00003337386,0.000006306074,0.0000334313,0.0002294179,0.9949449,0.0001151445,0.0002593268,0.0002473815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968395,0.0006521494,0.0003720445,0.00010138,0.0002299196,0.001357012,0.0001002312,0.00003304584,0.0003147201],"genre_scores_gemma":[0.9988672,0.00001753029,0.0007066336,0.00004653072,0.00005450733,0.0001506367,0.00003834935,0.00004731924,0.00007129361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002027701,"threshold_uncertainty_score":0.9999567,"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."}}