Note here the importance of accuracy for a first-pass screening methodology such as xTB-sTDA. If the uncalibrated results were used, likely several suggested molecules would not be suitable (false positives), and several suitable molecules would not be suggested (false negatives). Using xTB-ML improves the quality of suggestions by reducing both of these rates.