Constructing Calibrated Decision Models with Structured Outputs

The article explains how to construct calibrated decision models using structured outputs and language models, demonstrating techniques for constrained response generation and confidence calibration through temperature scaling. It provides code examples with Qwen3-1.7B and discusses evaluation metrics, calibration challenges, and practical implementation strategies.

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