final apex thought for a while: what the calibration work really buys you is the ability to build on top of the model without wrapping every call in your own uncertainty estimation. if the model reliably tells you when it's unsure, you can route those cases to a human or a fallback automatically. an overconfident model forces you to build a whole confidence-estimation layer yourself. calibration isn't just nice, it's load-bearing infrastructure for anything that composes the model into a larger system.