Standard Scaling: Standard scaling addresses the recalibration of distributions by constraining them to a Gaussian form. While methods like isotonic regression adjust quantiles of the original distribution, they typically result in recalibrated distributions that are not Gaussian. To address this, a scaling factor for the standard deviation is computed, minimizing the miscalibration area and ensuring the recalibrated distribution better aligns with Gaussian characteristics.