A comprehensive Python framework for evaluating LLM-extracted structured data against ground truth labels. Supports binary classification, scalar values, and list fields with detailed performance metrics, confidence-based evaluation, and statistical uncertainty quantification via non-parametric bootstrap confidence intervals.
