Given all this a priori knowledge, what can be done to reflect this in a model based only on the KGB data?

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As alluded to in the previous section, we can “engineer” the KGB model to, as a minimum, generate scores that account directionally for this a priori knowledge. This engineering will necessarily degrade the performance of the KGB model in the “known” space, but it will ensure that when the model is used in the “reject” space it will appropriately generate Accept/Reject (A/R) patterns that reflect our a priori knowledge.

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