I'm researching machine translation quality estimation in real-world usage, and I was wondering if anyone here is using it in production right now and for what purposes? From my understanding, the main use case is to anticipate what segments won't be touched by human post-editors and approve them as is, but I understand some people may use it differently, like for machine translation quality evaluation (comparing engines performance). Any input would help! Thank you!