After analyzing DM21 convergence difficulties in the TMD dataset, Tab. II assesses DM21 across TMC117 datasets: TMD60, TMB40, and MOR17. For the DM21-converged subsets of these datasets, labeled "sub", we present mean absolute errors (MAEs) for the following functional combinations: B3LYP@B3LYP, DM21@B3LYP, DM21@DM21, and B3LYP@DM21. For full datasets ("whole"), only combinations evaluated at B3LYP densities are shown due to convergence issues, highlighting B3LYP@B3LYP and DM21@B3LYP. The table indicates DM21 non-convergence for 34 systems within TMC117 (13 from TMB40 and 21 from TMD60). Given Strategy D's high cost and its inability to converge those TMD60 systems where A-C failed, we did not use it for TMB40 and MOR17 systems. All results in Tab. II include D3(BJ) corrections, with D3(BJ)-free comparisons in Tab. S-I in the SI. From Tab. II, we can see that DM21 has the potential for more accurately describing TMC than B3LYP. For example, we can see that DM21@B3LYP is on average noticeably more accurate than selfconsistent B3LYP@B3LYP. While self-consistent DM21@DM21 shows a slight decrease in accuracy compared to DM21@B3LYP, it remains more accurate than B3LYP@B3LYP. In DM21 converged instances, B3LYP@DM21 shows slightly lower but still comparable accuracy to DM21@B3LYP.