Unverified50% confidenceFactExact time
Jev requires structuring problems in JSON and providing judgment criteria, outputting decision results with confidence levels (e.g., "73% true").
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedJev's confidence calibration is reliable, with claimed accuracy close to actual accuracy, and can be directly used by engineering code as a threshold decision basis.64% similarUnverifiedNot all evaluations require an LLM; Deterministic Evaluation can be used in scenarios such as checking whether JSON output is valid, whether the schema is correct, or whether required fields are present.64% similarUnverified多Agent系统中防范级联失败需要多层机制：JSON Schema结构化验证并重试、置信度评分与人工审核、幂等性设计、以及人机协同节点62% similarUnverifiedJev's scores are internally calibrated against absolute standards, making them suitable for application logic that requires comparing absolute probabilities across requests.61% similarUnverified使用JSON Schema验证将质量保障从人工审核下沉到自动化验证层，是LLM应用从Demo走向生产级系统的核心工程方法论60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949349API
curl https://kongchang.com/api/v1/knowledge/claims/949349MCP
get_claim(id=949349)