A team is developing a system to automatically check the factual accuracy of summaries generated by a language model. They plan to train a separate 'verifier' model on a dataset of summaries, each labeled by a human expert. The team decides the verifier will only output one of two possible labels for any given summary: 'Accurate' or 'Inaccurate'.

Critique this design choice. What is the most significant advantage and the most significant disadvantage of limiting the verifier's output to only two categories?