Roam Research
fromNature
1 day agoFirst AI tool to detect suspicious peer reviews rolled out by academic publisher
An AI tool detects duplicate or suspicious peer-review reports to combat integrity issues in the publication process.
A research team based in China used the Claude 2.0 large language model (LLM), created by Anthropic, an AI company in San Francisco, California, to generate peer-review reports and other types of documentation for 20 published cancer-biology papers from the journal eLife. The journal's publisher makes papers freely available online as 'reviewed preprints', and publishes them alongside their referee reports and the original unedited manuscripts.