When utilizing the output from an advanced system, how should the computational model’s confidence score be primarily interpreted?
Answer
As a measure of computational certainty based on the model's training set and probabilistic inference path.
The model's confidence score must be treated as a measure of computational certainty, indicating the most statistically probable inference path found by the algorithms, not absolute scientific truth.
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