Keen understanding of the underlying reaction mechanism is advantageous for reaction optimization, and oftentimes, a deep understanding of a mechanism can lead to the development of new reactions and catalysts. However, many reaction mechanisms have seen only partial elucidation, especially those which feature organometallic transition states. We imagine that HiTEA could identify hidden correlations between reaction inputs and measured reaction outcome, providing statistically robust evidence for or against mechanistic hypotheses. In the course of our manuscript, we discovered that solvent identity plays a significant role in the yield of Ullmann couplings, however, unlike their Buchwald counterparts, the effect of solvent polarity on the multitude of potential XAT / SET catalyst intermediates has not been elucidated. As HiTEA has been designed to be applicable in even low data environments, it has conceivable utility in the investigations of other reaction mechanisms with limited screening.