{"id":"W4410402863","doi":"10.3390/antibiotics14050510","title":"Exploring the Antibacterial Potency of Cymbopogon Essential Oils: Liposome Encapsulation and Phytochemical Insights","year":2025,"lang":"en","type":"article","venue":"Antibiotics","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Centre for Engineering Research and Development; Agence Universitaire de la Francophonie; Université de Lorraine","keywords":"Cymbopogon citratus; Chemistry; Antimicrobial; Liposome; Chromatography; Minimum inhibitory concentration; Antibacterial activity; Citral; Enterococcus faecalis; Essential oil; Geraniol; Minimum bactericidal concentration; Phytochemical; Broth microdilution; Organic chemistry; Biochemistry; Bacteria; Biology; Escherichia coli","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001037723,0.0002661417,0.0001261662,0.0002246017,0.00005667682,0.000171564,0.0001030212,0.0001697484,0.0003446795],"category_scores_gemma":[0.00006145871,0.00005501441,0.0001946343,0.0001148384,0.0001376189,0.0002120907,0.0001582309,0.0002552786,0.00008600196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000221887,"about_ca_system_score_gemma":0.0001155113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004106244,"about_ca_topic_score_gemma":0.0005040387,"domain_scores_codex":[0.9999776,0.000002729322,0.000001454122,0.000005082563,0.000006045635,0.00000711116],"domain_scores_gemma":[0.9999688,0.000007255321,0.00001039808,0.000002769446,0.000006824824,0.000004051155],"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":[0.00006341242,0.00001465124,0.0001838328,0.00008705896,0.000004889262,0.00002642661,0.000008508301,0.000116395,0.9969194,0.0000762188,0.00001735427,0.00248186],"study_design_scores_gemma":[0.00001436382,0.0002473618,0.003190027,0.00001723125,0.00002686825,0.00008858988,0.00002126583,0.001305073,0.9931899,0.00005925699,0.00183446,0.000005639728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916202,0.004041731,0.003014967,0.0001179855,0.00001010481,0.00003280092,0.0001931455,0.00001855722,0.000950496],"genre_scores_gemma":[0.9944929,0.002130532,0.002562087,0.00004517781,0.00000437118,0.00002483379,0.0001597021,0.000006572991,0.0005739086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004106244,"threshold_uncertainty_score":0.001609981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294008323343935,"score_gpt":0.2156409513683374,"score_spread":0.1927008681348981,"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."}}