Unverified50% confidenceDecision RuleExact time
Confidence thresholds should route low-quality extraction results to human review, rather than sending them directly into downstream automation.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
UnverifiedThe actual benefits of low-precision solutions are highly dependent on specific model shapes, and real-world deployment requires empirical validation against one's own workload rather than directly applying peak numbers.77% similarUnverifiedThe correct use of Confidence is to set a threshold below which the request is routed to a human or a fallback, rather than always taking the maximum value.77% similarUnverified任何自动标注管线都不应完全信任模型输出，应设置置信度阈值将不确定的样本路由给人工复核76% similarUnverifiedIn high-risk scenarios, automatic execution is only permitted when the matching confidence exceeds a very high threshold (such as 99.5%); otherwise it is downgraded to manual review.76% similarUnverifiedSetting a higher confidence threshold reduces the automation rate but increases the accuracy of the portion that is automatically processed; setting a lower threshold increases automation coverage but raises the number of extraction errors.75% similar
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