Unverified50% confidenceSolutionExact time
Engineering teams can use a scalar risk budget (for example, a false omission rate of no more than 5%) as the deployment threshold, instead of making vague trade-offs among multiple entangled error rates.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe model output may not be a simple "yes/no" determination but a risk score, which is applied with different thresholds in different scenarios (more lenient for real-time developer reminders, stricter for security team audits).74% similarUnverifiedPOMDP的转移概率、观测模型、奖励函数参数一旦估计失准,求解出的最优策略可能不如保守的阈值规则可靠,对初学者小项目而言存在过度工程风险71% similarUnverifiedExisting uncertainty estimation schemes usually require multiple samplings (5x or more compute), the introduction of a judge model, or reliance on labeled datasets, making them costly and only giving general confidence.71% similarUnverifiedSecurity and architecture-level reviews are high-risk, low-fault-tolerance scenarios where budget should be allocated to flagship models.70% similarUnverifiedFor teams building yes/no probability prediction services, rather than accumulating a large amount of annotation for each fine-grained problem, it is better to focus effort on expanding problem coverage and using pooled calibration with a global correction to align probability outputs.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1037408API
curl https://kongchang.com/api/v1/knowledge/claims/1037408MCP
get_claim(id=1037408)