EMBO is launching the Early Evidence Base site, an experimental platform that blends human scientific expertise with artificial intelligence (AI) to highlight scientific findings posted in preprints. Preprints are manuscripts that are publicly shared online by researchers before formal publication in a peer-reviewed journal.
Early Evidence Base (EEB) prioritises preprints that are linked with expert peer-reviews obtained from a variety of sources, including Review Commons, EMBO Press, eLife, Peerage of Science, Peer Community In and Rapid Reviews: COVID-19. In-depth analyses from experts and responses from the authors are made directly accessible to readers who can use them to form an informed opinion on the reported findings.
Early Evidence Base used an artificial intelligence engine to analyse the scientific content of 40,000 preprints and organise them around coherent scientific topics in a fully automated way. Without prior knowledge or human intervention, the engine automatically identifies emerging topics such as COVID-19 and potentially important molecular and cellular components related to the areas of scientific research.
For non-experts, navigating preprints can be challenging: in absence of peer-review, it is often difficult to interpret the data and to evaluate the quality of the results and the strength of the conclusions.
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