Unverified50% confidenceOpinionExact time
Mention-level precision and recall of around 70% means that real-world large-scale applications will still produce a considerable proportion of missed detections and false positives, making it difficult to eliminate manual review in the short term.
1
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50%
Confidence
Long-term
Relevance
9/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAn absolute accuracy of 68% means that nearly one-third of problems still cannot be correctly modeled, and manual review remains necessary in actual deployment.75% similarUnverifiedStatic analysis tools must make trade-offs between precision and recall: being too strict produces a large number of false positives, while being too lenient misses real bugs.73% similar
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