论文标题

估计对已发表工作的信心的合成预测市场

A Synthetic Prediction Market for Estimating Confidence in Published Work

论文作者

Rajtmajer, Sarah, Griffin, Christopher, Wu, Jian, Fraleigh, Robert, Balaji, Laxmaan, Squicciarini, Anna, Kwasnica, Anthony, Pennock, David, McLaughlin, Michael, Fritton, Timothy, Nakshatri, Nishanth, Menon, Arjun, Modukuri, Sai Ajay, Nivargi, Rajal, Wei, Xin, Giles, C. Lee

论文摘要

可以解释地估计对已发表的学术工作的信心为更快,更强大的科学进步提供了机会。我们开发一个合成的预测市场,以评估社会和行为科学文献中已发表的主张的信誉。我们使用已知复制项目的集合来演示我们的系统和详细信息。我们建议这项工作奠定了研究议程的基础,该研究议程创造性地将AI用于同行评审。

Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess the credibility of published claims in the social and behavioral sciences literature. We demonstrate our system and detail our findings using a collection of known replication projects. We suggest that this work lays the foundation for a research agenda that creatively uses AI for peer review.

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