A key motivation for our benchmarking effort and case study was to investigate the trade-off between maximizing speed and recall in a screening campaign with HASTEN. It is of note that all results presented herein were achieved with Chemprop default hyperparameters, and no hyperparameter optimization was performed. Given the size of our training data, any optimization would have to be done with similarly sized data and thus take a significant amount of additional time for every alternative explored.