Nature, Published online: 04 February 2026; doi:10.1038/s41586-025-10072-4

A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human evaluations over expert-written answers.

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