Finding 6266Emerging EvidenceValidation V0
Zhong advances a layering theory where humans, tools, and generative AI sequentially correct yet may introduce errors. A quality metric, $q=\frac{\text{correction}}{\text{new-error}}$, uniquely orders stages: higher-quality agents optimally appear later downstream.
72%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting72% linkage confidence
Zhong advances a layering theory where humans, tools, and generative AI sequentially correct yet may introduce errors. A quality metric, $q=\frac{\text{correction}}{\text{new-error}}$, uniquely orders stages: higher-quality agents optimally appear later downstream.
key_findings bullet 1 · key_findings
Inspect source: Optimal Integration: Human, Machine, and Generative AI →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.