请问各位老师：什么是“miscalibration in the large”？数据出现“miscalibration in the large”问题怎么解决？原文如下：
Intercept test. Constraining γ1 = 1, we wish to know whether γ0（hat） is consistentwith 0. If it is not consistent with 0, we have a calibration error sometimes known
as “miscalibration in the large” . The (adjusted) event rate in the
validation data differs from that in the derivation data.