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\section{Acknowledgments}
\small
This work was supported by National Science Foundation (NSF) awards: ``SI2-SSI: Community Software for Extreme-Scale Computing in Earthquake System Science'' (ACI-1450451), and ``Improving Earthquake Forecasting and Seismic Hazard Analysis Through Extreme-Scale Simulations'' (OAC-1713792); and Southern California Earthquake Center (SCEC) awards: ``An Examination of the Correlations Between Different Goodness-of-Fit Metrics Based on a Large Dataset of Ground Motion Simulation Validations'' (16-067), and ``Application of Machine Learning in Deterministic Ground Motion Simulation'' (17-239). SCEC is funded by NSF Cooperative Agreement EAR-1600087 and U.S.~Geological Survey Cooperative Agreement G17AC00047. The SCEC contribution number for this paper is 8015. We thank two anonymous reviewers and Associate Editor Thomas Brocher for their detailed and constructive comments, which were very helpful in improving the original manuscript.