Models need to be retrained periodically and historical data is not always useful. The purpose of the models trained herein is to predict common reaction contexts or to drive an automation platform that leverages contexts optimal for multiple reactions. However, this type of model will often fail to predict the use of new promising conditions, which might be what the chemists principally try first. The model data will have to be updated regularly and ideally reflect the current state of the art to avoid this issue.