{"id":"W4205408317","doi":"10.1016/j.micpath.2022.105411","title":"Silver nanoparticles-essential oils combined treatments to enhance the antibacterial and antifungal properties against foodborne pathogens and spoilage microorganisms","year":2022,"lang":"en","type":"article","venue":"Microbial Pathogenesis","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Armand Frappier Museum; Bell (Canada); Agriculture and Agri-Food Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Penicillium chrysogenum; Aspergillus niger; Food spoilage; Mucor circinelloides; Broth microdilution; Minimum inhibitory concentration; Penicillium expansum; Microbiology; Food science; Bacteria; Penicillium digitatum; Chemistry; Penicillium; Biology; Antimicrobial; Postharvest; Mucor; Botany; Antifungal","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002938366,0.0003211605,0.0003552614,0.00002271368,0.001474935,0.0002594339,0.0002890724,0.00007029968,0.0001889187],"category_scores_gemma":[0.0000209762,0.0001435574,0.0001162114,0.0003623862,0.0001801862,0.0001427294,0.0006500405,0.0001326884,0.00001456172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003625236,"about_ca_system_score_gemma":0.00002062651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033816,"about_ca_topic_score_gemma":0.0002352862,"domain_scores_codex":[0.9980079,0.0003091635,0.0003155715,0.0006647099,0.0001958524,0.0005068122],"domain_scores_gemma":[0.9994786,0.00006013631,0.0001264593,0.0001260035,0.00005202548,0.0001567453],"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":[0.0003308695,0.0002966647,0.0005799964,0.00001410922,0.00003637951,0.00003079205,0.0002412881,0.000004359245,0.9746483,0.000005602224,0.0001855681,0.02362609],"study_design_scores_gemma":[0.0003273188,0.0003858508,0.03033834,0.00001785307,0.000067407,0.00004128886,0.0001129676,0.000005931017,0.9658836,0.000006708948,0.002466697,0.0003460638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963015,0.0001912768,0.000001587946,0.001540041,0.0004135724,0.0005759777,0.0008995521,0.00006370906,0.00001283498],"genre_scores_gemma":[0.9985493,0.00009417079,0.00006376525,0.0007116101,0.0002757003,0.00003785165,0.00006348219,0.000007763176,0.0001963432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02975835,"threshold_uncertainty_score":0.999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00918409580397173,"score_gpt":0.1919684928229865,"score_spread":0.1827843970190148,"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."}}