{"id":"W3039079339","doi":"10.1186/s13568-020-01056-w","title":"Biocompatible combinations of nisin and licorice polyphenols exert synergistic bactericidal effects against Enterococcus faecalis and inhibit NF-κB activation in monocytes","year":2020,"lang":"en","type":"article","venue":"AMB Express","topic":"Pharmacological Effects of Natural Compounds","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"University of Texas Health Science Center at San Antonio; Universidade Estadual de Campinas; Universitetet i Oslo; Réseau de Recherche en Santé Buccodentaire et Osseuse; American Association of Endodontists Foundation","keywords":"Nisin; Enterococcus faecalis; Lantibiotics; Chemistry; Bacteriocin; Biofilm; Polyphenol; Microbiology; Food science; Biochemistry; Antimicrobial; Bacteria; Biology; Escherichia coli; Antioxidant","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":[0.0002162595,0.0002714281,0.0004532244,0.0001465203,0.0001300215,0.00003807247,0.0002239679,0.0002484225,0.0000354883],"category_scores_gemma":[0.0002850555,0.0002537842,0.00004833284,0.0003613732,0.0002328041,0.0003053449,0.0002499077,0.0006451147,0.000005870893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005714202,"about_ca_system_score_gemma":0.00002281036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006726485,"about_ca_topic_score_gemma":0.000004990382,"domain_scores_codex":[0.9982098,0.0005201334,0.0003809284,0.000402683,0.000148846,0.0003376552],"domain_scores_gemma":[0.9976048,0.0017569,0.00019711,0.0001101823,0.0000707987,0.000260221],"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":[0.0004952546,0.0004578026,0.006226929,0.0002694282,0.00006827367,0.0000190991,0.0006703555,0.0001298565,0.9815863,0.0003070825,0.0009066397,0.008862951],"study_design_scores_gemma":[0.005866927,0.0006213499,0.01865952,0.0001242619,0.00009160961,0.000002521837,0.00009204439,0.0106107,0.9607779,0.0003014804,0.002485114,0.0003665459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960183,0.0008273475,0.0002191595,0.001296558,0.0001971337,0.0008287234,0.00003510213,0.00008153859,0.0004961738],"genre_scores_gemma":[0.9968366,0.000185094,0.0001910921,0.002527729,0.00007481123,0.0001024169,0.00003771062,0.00001951156,0.00002505169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0208084,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07915505271758545,"score_gpt":0.3837459125084735,"score_spread":0.304590859790888,"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."}}