Automated tools such as the Reaction Mechanism Generator (RMG), facilitate rapid generation of coupled heterogeneous and homogeneous MKMs. RMG leverages inter-nal databases to estimate unknown thermochemistry and kinetic parameters. However, for surface-mediated reactions, these databases are sparsely populated and often rely on approximations like Brønsted-Evans-Polanyi (BEP) relationships to estimate reaction barriers. These approximations often carry large errors (e.g., > 0.2 eV ) and thus reduce the predictive capacity of the model.