{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["63(3)"],"submitter":["Perkins G"],"journal":["Journal of clinical microbiology"],"pagination":["e0162424"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11898693"],"repository":["biostudies-literature"],"pubmed_title":["Retrieval-augmented generation salvages poor performance from large language models in answering microbiology-specific multiple-choice questions."],"pmcid":["PMC11898693"],"pubmed_authors":["Perkins G","Spies NC","Anderson NW"],"additional_accession":[]},"is_claimable":false,"name":"Retrieval-augmented generation salvages poor performance from large language models in answering microbiology-specific multiple-choice questions.","description":null,"dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-04-04T01:27:53.837Z","creation":"2025-04-04T01:27:53.837Z"},"accession":"S-EPMC11898693","cross_references":{"pubmed":["39932275"],"doi":["10.1128/jcm.01624-24"]}}