Previous work has shown that transfer learning can sometimes improve model performance. We did not implement transfer learning for our gas-phase QM calculations because of potential concerns about replicating the NIST data, which is governed by the NIST Standard Reference Data act. We also attempted to pretrain on ChEMBL pK a data, but observed that this did not improve model performance. Hence, we report here only models without any multifidelity learning.