减少科幻，增加科学摩擦。
More science friction for less science fiction.
作者信息
Byrne Jennifer A, Stender Stefan
机构信息
NSW Health Statewide Biobank, NSW Health Pathology, Camperdown, Australia.
School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
出版信息
PLoS Biol. 2025 May 9;23(5):e3003167. doi: 10.1371/journal.pbio.3003167. eCollection 2025 May.
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.
摘要
可利用适用于人工智能的健康数据集来生成许多科学价值可能有限的研究文章。《公共科学图书馆·生物学》上的一项研究通过描述近期分析美国国家健康与营养检查调查（NHANES）健康数据集的论文突然激增的情况，突出了这一问题。
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