Unverified50% confidenceCautionExact time
Confidence measures how concentrated the probability distribution is, not whether the answer is correct; the official documentation explicitly states that a higher value does not guarantee a correct answer, and thresholds must be determined from one's own data.
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10/7/2026
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UnverifiedThe confidence threshold mechanism is closely related to the academic concept of Calibration; a good model not only needs to answer correctly, but also needs to know when it might answer incorrectly.79% similarUnverifiedThe Confidence Score measures how much the fact-checking result should be trusted, and decreases when supporting sources are scarce or contradict each other.76% similarUnverifiedThe quality of an agent's decisions directly depends on the trustworthiness of the data it ingests; if data definitions are inconsistent across systems, the agent may amplify erroneous judgments after integration.72% similarUnverifiedEvaluation results are better expressed using confidence intervals rather than point estimates, and reporting a pass-rate interval is more honest than reporting a single number.70% similarUnverifiedIn high-stakes scenarios, confidence scores should be validated against business logic rather than treated as an absolute quality signal.70% similar
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