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  1. Machine Learning for Hypothesis Generation in Biology and Medicine: Exploring the latent space of neuroscience and developmental bioelectricity

    This article has 6 authors:
    1. Thomas O'Brien
    2. Joel Stremmel
    3. Léo Pio-Lopez
    4. Patrick McMillen
    5. Cody Rasmussen-Ivey
    6. Michael Levin
    This article has no evaluationsAppears in 1 listLatest version

    Mark Williams

    I came across this in a post from the ResearchHub community on Discord. From what I understand, the tool uses GPT-4 to generate hypotheses from existing research to help researchers identify possible new experiments in different fields.

  2. ChatGPT identifies gender disparities in scientific peer review

    This article has 1 author:
    1. Jeroen PH Verharen
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study used ChatGPT to assess certain linguistic characteristics (sentiment and politeness) of 500 peer reviews for 200 neuroscience papers published in Nature Communications. The vast majority of reviews were polite, but papers with female first authors received less polite reviews than papers with male first authors, whereas papers with a female senior author received more favourable reviews than papers with a male senior author. Overall, the study is an important contribution to work on gender bias, and the evidence for the potential utility of generative AI programs like ChatGPT in meta-research is solid.

    Reviewed by eLife

    This article has 8 evaluationsAppears in 4 listsLatest version Latest activity