📄 中文摘要
研究提出了一种机器自动化的方法，用于从学术论文中提取结果，并通过对整个eLife文献库的全面评估来验证该方法的有效性。这种方法不仅能够直接比较机器审稿与同行评审的结果，还揭示了在实现科学成果机器可读性方面必须克服的关键挑战。通过这一研究，旨在推动科学研究的透明度和可访问性，促进科学信息的更高效利用。
科学应当是机器可读的
出处: Science should be machine-readable
发布: 2026年2月17日
📄 English Summary
Science should be machine-readable
A machine-automated approach for extracting results from academic papers has been developed and assessed through a comprehensive review of the entire eLife corpus. This method facilitates a direct comparison between machine and peer review, highlighting key challenges that must be addressed to enhance the machine readability of scientific results. The research aims to promote transparency and accessibility in scientific research, enabling more efficient utilization of scientific information.