Compared to MIST trained exclusively on public data, the full MIST model, which includes both public and proprietary data in its training, achieves a significantly stronger performance (figure ). However, it is noteworthy that across the CASMI 2022 dataset, the MIST database retrieval performance does not match the higher levels previously reported by Goldman et al. [2] on a different test set. This observation is anticipated, considering the lower precision of fingerprint predictions on this novel dataset. Furthermore, CSI:FingerID significantly outperforms all MIST models on the CASMI 2022 dataset, contrary to the similar performance between MIST and CSI:FingerID reported by Goldman et al. [2].