Identifying all evidence relevant to a systematic review remains a critical yet time-consuming step in the evidence synthesis process. Machine learning methods and collaborative screening software constitute potential means of reducing the workload necessary to perform citation screening, without sacrificing rigor. But while sophisticated web-based tools for performing citation screening have emerged (e.g., Covidence, Rayyan) they tend to feature relatively limited automation functionality. Conversely, open-source research prototypes (e.g., abstrackr, RobotReviewer) offer more sophisticated machine learning to aid synthesis but lack simple user experiences. Read more…