A machine learning tool that can assess the credibility of research could shorten the review period for scientific studies and, potentially, help identify the most promising research on COVID-19.
Assessing the merit of scientific papers can be a challenging task, even for experts. The process of peer review can be lengthy and often subjective.
The existence of published studies that researchers have been unable to replicate has also raised concerns about the review process.
One survey found that more than 70% of researchers have failed to reproduce another scientist’s experiments, with more than half failing to reproduce their own research findings.