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Jev鈥檚 apparent miscalibration on binary choices is an artifact of forced binarization: recovering a hidden, unexpressed "I don't know" probability mass catapults the model's calibration accuracy from 0.771 to 0.978.
Smaller LLMs falter in ABM simulations, while larger models reveal new dynamics in agent-based decision-making.