In this work, the scoring model treats reactions within a synthetic route as an unordered set. By treating reactions as a set, we established a baseline for what can be achieved without considering reaction ordering. Our choice of permutation invariance prioritizes simplicity and enables the model to focus on reaction-level properties independently of sequence order. However, we acknowledge that the order of reactions within a route carries potentially informative context. This study explores how effectively routes can be evaluated when treated as unordered sets, and we raise the possibility in future work that incorporating reaction order could further improve the predictive performance of the model.