Using the optimized structures from the blind submission, additional QM methods were examined. The DLPNO-Solv-ccCA method, which approximates DLPNO-CCSD(T)/aug-cc-pCV∞Z, yielded a MUE of 1.19 logPtol/w units, which is an improvement to the blind submissions by at least 0.37 logPtol/w units in the case of DLPNO-CCSD(T)/def2-SVP (Table ). This is most likely due to the inclusion of additional corrections built into the DLPNO-Solv-ccCA methodology that enhance the description of the electronic energy beyond a DLPNO-CCSD(T) single point with a smaller basis set such as def2-SVP. These corrections include the use of higher-ζ correlation consistent basis sets for a reference energy, core-valence interactions, scalar relativistic corrections, and the zero-point vibrational energy. The results of a density functional scan across fifteen DFT functionals across five developer families and three basis sets yielded that PBE/cc-pV∞Z yielded the lowest MUE of 1.00 logPtol/w units (more details in ESI). The analysis of basis sets of increasing ζ-level for DFT functionals is also consistent with the results in comparing the improvement from DLPNO-CCSD(T)/def2-SVP to DLPNO-Solv-ccCA, which showed that per molecule, the mean signed errors between the calculated and experimental logPtol/w values across all functionals were highest when using cc-pVDZ versus cc-pVTZ and cc-pVQZ (Figure ).