{"id":"W2604751640","doi":"10.3390/molecules22040585","title":"Mechanism of Action of Electrospun Chitosan-Based Nanofibers against Meat Spoilage and Pathogenic Bacteria","year":2017,"lang":"en","type":"article","venue":"Molecules","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Food spoilage; Bacteria; Listeria monocytogenes; Chemistry; Food science; Microbiology; Staphylococcus aureus; Salmonella enterica; Salmonella; 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":[],"consensus_categories":[],"category_scores_codex":[0.000150837,0.0001560325,0.0002717402,0.00008435483,0.0001869329,0.00007208995,0.0003100157,0.00007483517,0.00002715575],"category_scores_gemma":[0.00002557799,0.0001497546,0.00007676423,0.00004608402,0.0001416425,0.0001635221,0.00008645291,0.00005046299,0.000005123061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119576,"about_ca_system_score_gemma":0.00004352734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005569394,"about_ca_topic_score_gemma":0.00002209516,"domain_scores_codex":[0.9989792,0.00005894932,0.000254031,0.0002671114,0.0002074811,0.0002332447],"domain_scores_gemma":[0.9989527,0.00002266334,0.0004003312,0.0005253001,0.00003871774,0.00006032523],"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":[0.000066159,0.00003073268,0.0003217117,0.00007488203,0.000009781787,0.000005961024,0.00007608508,0.000006144475,0.9981897,0.0006995311,0.000004461264,0.0005148497],"study_design_scores_gemma":[0.0004498092,0.0001291083,0.00483245,0.00007548362,0.00002910339,0.000004409584,0.00001552454,0.0001475635,0.9939368,0.0002217342,0.00001882239,0.0001391458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971182,0.00006198786,0.001610981,0.0000507147,0.0002330867,0.0001637415,0.00004610433,0.0000333497,0.0006817945],"genre_scores_gemma":[0.9927655,0.00001465217,0.007106508,0.00003314926,0.00002131228,0.000006632172,0.0000127025,0.00002304596,0.00001652314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005495526,"threshold_uncertainty_score":0.6106815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324555833793097,"score_gpt":0.2462185755274179,"score_spread":0.2329730171894869,"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."}}