Study examines how editorial routing affects qualification of AI-assisted computational results

This arXiv paper investigates how large language models are used to interpret computational results and draft scientific manuscripts. Holding the underlying computational evidence fixed, the authors tested whether spreading comparisons across different modeling choices changes how findings are described and qualified. The results indicate that editorial routing decisions influence the hedging and qualification of reported results in AI-assisted writing.