Unverified50% confidenceBenchmarkExact time
Ithaca模型缺失文字预测准确率约62%，人类专家独立完成时约为25%，地理来源推断约71%，年代估算误差中位数约30年
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50%
Confidence
Long-term
Relevance
7/17/2026
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Related Claims
UnverifiedIthaca模型推断铭文地理来源准确率约71%，估算年代误差中位数约30年84% similarUnverified当人类专家与AI（Ithaca）协作时，缺失文字预测准确率从专家独立工作的25%提升至约57%81% similarUnverifiedThe accuracy data in the test has an error margin of approximately ±8–10 percentage points at n=100 sample size (based on a 95% confidence-level binomial confidence interval).66% similarUnverifiedIn scenarios where AI-generated works account for a low proportion (e.g., only 5%), even with a detection accuracy of 90%, more than two-thirds of the flagged works are actually human-created—this is the base rate fallacy in Bayesian reasoning.65% similarUnverifiedWhen samples are severely imbalanced, Accuracy becomes misleading—a model that predicts everyone as healthy can still achieve an accuracy of over 99%.64% similar
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