Another challenge lies in the variety of performance metrics used. As discussed in Section 2.4, the D-MAE and RMSD assess the error between predicted and reference geometries. D-MAE calculates the average absolute distance between predicted and reference atomic distances and is typically used for models that predict a distance or Coulomb matrix for a TS. Unfortunately, converting between D-MAE and RMSD is not straightforward without knowing the distribution of data in the model, complicating comparisons when only one metric is reported.