Development and validation of methods for identification and quality assessment of in vitro research

doi:10.17605/OSF.IO/AHFR3

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**Research Aim** We aim to validate machine learning methods for accurate identification of in vitro research and the subsequent assessment of risk of bias reporting of these papers. In doing so, we will address the research question: *Has the reporting of risk of bias measures relevant to in vitro experiments improved over time?*

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