Verified75% confidenceFactExact time
The 95% Wilson confidence interval is more accurate than the normal approximation (Wald interval) when sample sizes are small or when proportions are close to 0 or 1.
5
Sources
75%
Confidence
Long-term
Relevance
10/2/2026
First Seen
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Related Claims
Unverified99.3%通过率（283/285）对应的95%置信区间约为97.5%-99.9%（使用Wilson区间估计）72% similarUnverifiedWhen a 61% pass rate is observed on 64 samples, the 95% Wilson confidence interval is approximately 48% to 73%71% similarUnverifiedUnder the condition of n=100 with an even split of positive and negative samples, the 95% confidence interval for 55% accuracy is roughly 45%–65%, which covers the 50% baseline, so the 5 percentage point gap may be random fluctuation.70% similarUnverifiedThe pLDDT score ranges from 0 to 100; scores above 90 are generally considered high-confidence predictions, 70–90 are considered good predictions, and scores below 50 should be interpreted with caution.69% similarUnverifiedWith a sample size of 112 questions, the 95% confidence interval near 0.95 is approximately ±4 points, making it impossible to distinguish between scores of 0.94 and 0.92.68% similar
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