@article{f5fce4ad416f48699e661b59e658da5f,
title = "More science friction for less science fiction",
abstract = "AI-ready health datasets can be exploited to generate many research articles with potentially limited scientific value. A study in PLOS Biology highlights this problem, by describing a recent, sudden explosion in papers analyzing the NHANES health dataset.",
keywords = "Humans, Artificial Intelligence, Science, Nutrition Surveys",
author = "Byrne, {Jennifer A} and Stefan Stender",
note = "Copyright: {\textcopyright} 2025 Byrne, Stender. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2025",
month = may,
doi = "10.1371/journal.pbio.3003167",
language = "English",
volume = "23",
journal = "PLoS Biology",
issn = "1544-9173",
publisher = "Public Library of Science",
number = "5",
}