An accurate MLFF is, however, just one part of the toolbox necessary to build a robust and efficient workflow for structure searches. The design of an MLFF can enhance or restrict its transferability and any MLFF has the potential to emit infinitely diverse mispredictions. This is especially significant for stochastic searches, which, by design, tend to move into regions that the model was not trained on. Extrapolation happens almost surely in highdimensional models, and therefore is not, by itself, an indicator of poor performance.