@Article{info:doi/10.2196/50336,
author="Gilson, Aidan
and Safranek, Conrad W
and Huang, Thomas
and Socrates, Vimig
and Chi, Ling
and Taylor, Richard Andrew
and Chartash, David",
title="Authors' Reply to: Variability in Large Language Models' Responses to Medical Licensing and Certification Examinations",
journal="JMIR Med Educ",
year="2023",
month="Jul",
day="13",
volume="9",
pages="e50336",
keywords="natural language processing; NLP; MedQA; generative pre-trained transformer; GPT; medical education; chatbot; artificial intelligence; AI; education technology; ChatGPT; conversational agent; machine learning; large language models; knowledge assessment",
issn="2369-3762",
doi="10.2196/50336",
url="https://mededu.jmir.org/2023/1/e50336",
url="https://doi.org/10.2196/50336",
url="http://www.ncbi.nlm.nih.gov/pubmed/37440299"
}