The Accuracy Score is a predictive metric used within search systems, particularly those that utilize machine learning models to generate and evaluate short query responses.
The score reflects the confidence of the system in the correctness or relevance of the answer derived from source content. The accuracy score is often derived from the consensus found between candidate and context passages analyzed by the system.
In practice, the decision to display a short answer directly on the SERP, such as in an Answer Box or Featured Snippet, is contingent on comparing the predicted accuracy score against a predetermined threshold. If the score meets this threshold, the system provides the short, definitive answer.