Preliminary Remark
As a general guide, in this article learning about the model parameters using data from the system is referred to as (model) calibration, while learning about the system behaviour itself as (system) prediction. Combining both of these, e.g., using the model and system data to make predictions about the system, is referred to as calibrated prediction. Other terminology is discussed below, in #The "traditional" approach.
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