Since the case study defies the "common sense" of synthesis i.e. producing a product of lower stability, it was expected to see the deep-learning models struggle. It is not uncommon to have intermediates in a synthesis route that are short-lived in nature to produce a more stable product. From the results of the case study, it is reasoned that the models are yet unable to propose such steps.