  We have revisited the target EON_10.477_41.954 in order to determine more
accurately the uncertainties in the model parameters that are important for
target classification (i.e., galaxies with or without substantial extraplanar
dust). We performed a Markov-Chain Monte Carlo (MCMC) analysis for the fifteen
parameters of the three-dimensional radiative-transfer galaxy model we used
previously for target classification. To investigate the convergence of the
MCMC sampling---which is usually neglected in the literature but should not
be---we monitored the integrated autocorrelation time ($\tau_{int}$), and we
achieved effective sample sizes $>5,650$ for all the model parameters. The
confidence intervals are unstable at the beginning of the iterations where the
values of $\tau_{int}$ are increasing, but they become stable in later
iterations where those values are almost constant. The final confidence
intervals are $\sim5-100$ times larger than the nominal uncertainties used in
our previous study (the standard deviation of three best-fit results). Thus,
those nominal uncertainties are not good proxies for the model-parameter
uncertainties. Although the position of EON_10.477_41.954 in the
target-classification plot (the scale-height to diameter ratio of dust vs that
of light-source) decreases by about $20-30$ % when compared to our previous
study, its membership in the ``high-group''---i.e., among galaxies with
substantial extraplanar dust---nevertheless remains unchanged.
