Unverified50% confidenceDecision RuleExact time
The 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.
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Confidence
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10/7/2026
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UnverifiedSetting the confidence threshold is a risk-reward tradeoff: a threshold that is too high causes simple tickets to be routed back to humans, limiting efficiency gains, while a threshold that is too low causes error rates to climb on ambiguous cases; it is recommended to collect data via shadow mode and use ROC curve analysis to determine the threshold.73% similarUnverifiedThe challenge of confidence-based routing lies in threshold calibration: too strict a threshold causes a large number of requests to be escalated, negating the cost advantage, while too loose a threshold allows low-quality decisions to flow into the system.73% similarUnverifiedSome products address this by setting a confidence threshold: when the model's confidence in a decision falls below the set value, a clarification process is triggered; otherwise, the action is executed automatically with the inferred rationale noted for the user to confirm after the fact.71% similarUnverifiedHuman-in-the-Loop is typically implemented through confidence thresholds for tiered processing, where cases above the threshold are executed automatically and those below the threshold are sent for human review.71% similarUnverified分层漏斗每一层输出置信度分数，当置信度低于预设阈值时请求才下沉到下一层；阈值过高导致请求不必要流向下层，阈值过低引发误识别70% similar
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