How does RobotReviewer work?
RobotReviewer has ‘learned’ how to assess bias by examining the titles and abstracts of tens of thousands of articles describing clinical trials that are also included in the Cochrane Database of Systematic Reviews. These trials have all been manually assessed for bias by systematic review authors, using the Cochrane Risk of Bias tool. As mentioned above, this tool is used to assess various common biases in Randomized Controlled Trials, including whether a trial used robust randomization, and whether participants were adequately blinded to which intervention they received. Specifically, the version of RobotReviewer used in Trip focuses on biases in random sequence generation, allocation concealment, and blinding.
While the predictions are reasonably accurate, we caution that they are not perfect, especially because they rely only on the titles and abstracts of articles (rather than full-texts). Nonetheless, in the context of Trip searches, the predictions can help quickly identify what is likely to be the highest quality research for a given search topic. If you require very high accuracy bias assessments (for example if you are conducting a systematic review) you will of course need to consult the full text of the paper. You may wish to use the full RobotReviewer tool, which provides detailed information on all the domains of the Cochrane Risk of Bias tool from full text papers and can aid in your assessments.
For more information on the algorithm used in RobotReviewer, please see the references below.
 Iain J. Marshall, Joël Kuiper, and Byron C. Wallace. "RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials." Journal of the American Medical Informatics Association (2015): ocv044.
 Iain J. Marshall, Joël Kuiper, and Byron C. Wallace. "Automating risk of bias assessment for clinical trials." IEEE journal of biomedical and health informatics 19.4 (2015): 1406-1412.