Suffix: imido does not apply to the group it was associated with (type: standardGroup) according to suffixApplicability.xml Table 7 reveals several issues in automated chemical nomenclature using deep learning. While many predicted names were successfully retranslated, some failed due to errors in the generated names and limitations within OPSIN. The errors mentioned above indicate the complexities of automated IUPAC name generation and interpretation, particularly for intricate organic molecules. Despite these challenges, the model could generate structurally similar names in many cases. However, the results underscore the continued importance of expert verification in deep learning-based chemical nomenclature tasks and point to specific areas for improvement in name-generation models and parsing software like OPSIN.