Discovery Stack Pilot demonstrates the feasibility and outcomes of a scientist-designed peer-review model that separates quality and impact
· 2026-09-08 · 原文
DOI：10.1371/journal.pbio.3003986
by Maureen A. McGargill, Beiyun C. Liu, Michael S. Kuhns, Daniel Mucida, Isabella Rauch, Lauren B. Rodda, Meghan A. Koch, Hugo Gonzalez Velozo, Ken Cadwell, Tanya S. Freedman, Tiffany C. Scharschmidt, Richard Sever, Jose Ordovas-Montanes, Sara Suliman, Andrew Oberst, Brooke Runnette, Matthew F. Krummel Peer review serves as the cornerstone of scientific quality control. Yet, the current journal-centric system is hindered by long timelines, high publication costs, inconsistent review quality, systemic biases, and editorial gatekeeping. Notably, the system relies on misaligned measures of impact that are tethered to journal branding and conflate scientific rigor ( Quality ) with perceived significance ( Impact ). Here, we report findings from the Discovery Stack Pilot Study, which tested a s
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1. 人话版
by Maureen A.
McGargill, Beiyun C.
2. 领域脉络
Liu, Michael S.
3. 机制拆解
Kuhns, Daniel Mucida, Isabella Rauch, Lauren B.
Rodda, Meghan A.
4. 证据与数字
摘要未给出量化结果——留意原文的实验与数据。
5. 反例与边界
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6. 跨领域连接与意外收获
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7. 可复用方法
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8. 术语表
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