Before revision:  We show that the GCNM has strong generalizability to different domain shapes  , out of distribution data as well as experimental data, from purely simulated training data  .
After revision:  We show that the GCNM has strong generalizability to different domain shapes , out of distribution data as well as experimental data, from purely simulated training data and without transfer training .