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提出一种面向救护车行程时间估计的不确定性感知方法，通过生成上下文自适应的预测区间来支持更透明、更风险敏感的紧急医疗调度决策，并在瑞典Skåne地区两年的真实救护数据上进行了回顾性评估。
Introduces Retrieval-Corrected Conformal Prediction (RCCP), a retrieval-augmented calibration method for time series prediction intervals that selects similar past residuals and applies a scalar conformal correction to achieve target coverage with low overhead.