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Historically it has been common to restrict parameter estimates of BNS signals to nine parameters by ignoring the spin of the compact objects. This is partly motivated by the slow spin (relativistically speaking) of neutron stars observed to date, and partly due to the computational expense of completing such an analysis, especially over a population of sources. However, proper characterization of BNS sources \emph{must} account for the spin of the compact objects, otherwise parameter estimates will be biased, and potentially lead us to the wrong conclusions \citep{Buonanno_2009}.  Numerous studies have looked at the BNS parameter-estimation abilities of ground-based GW detectors. \citet{Nissanke_2010,Nissanke_2011} assessed localization abilities on a simulated non-spinning BNS population. \citet{Veitch_2012} looked at several potential advanced-detector networks and quantified the PE abilities of each network for a fiducial non-spinning BNS signal. \citet{Aasi_2013} demonstated the ability to characterize non-spinning BNS signals using spinning waveforms, and Bayesian parameter estimation (PE) tools in the \textsc{LALInference} library \cite{Veitch_2014}. \citet{Hannam_2013} use appoximate methods to quantify the degeneracy between spin and mass estimates using spin-aligned models. \citet{Rodriguez_2014} simulated a collection of loud, non-spinning BNS signals in several mass bins and quantified parameter-estimation capabilities in the advanced-detector era using non-spinning models. Finally, \citet{Singer_2014} and the follow-on \citet{Berry_2014} represent an (almost) complete end-to-end simulation of BNS detection and characterization during the first $1$--$2$ years of the advanced-detecor era, simulating an astrophysically motivated population of BNS signals that were then detected and characterized using the tools that will be deployed to do so in the coming years. Missing from the \citet{Singer_2014} study is the complete characterization of sources, accounting for the spins of the neutron stars (NSs) and their degeneracies with other parameters. This work is the final step of BNS characterization using for  the \citet{Singer_2014} simulations using waveforms that account for the effects of neutron star spin.