90.6% (1,587) have proved to be valid true positives, and 62.4% (1,094) were confirmed as either high- or critical-severity
AI模型发现的漏洞中,90.6%被确认为真实阳性,这是一个相当高的准确率。然而,只有62.4%被确认为高危或严重级别,这意味着约28.2%的高危/严重级别评估被降级,这表明AI模型在漏洞严重性评估方面仍有改进空间。
90.6% (1,587) have proved to be valid true positives, and 62.4% (1,094) were confirmed as either high- or critical-severity
AI模型发现的漏洞中,90.6%被确认为真实阳性,这是一个相当高的准确率。然而,只有62.4%被确认为高危或严重级别,这意味着约28.2%的高危/严重级别评估被降级,这表明AI模型在漏洞严重性评估方面仍有改进空间。
Gu, T., Wang, L., Xie, N., Meng, X., Li, Z., Postlethwaite, A. E., Aleya, L., Howard, S., Gu, W., & Wang, Y. (2021). Towards a country-based prediction model of COVID-19 infections and deaths between disease apex and end: -Evidence from countries with contained numbers of COVID-19. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.585115
Manski, C. F., & Molinari, F. (2020). Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem (Working Paper No. 27023; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27023
Chen, C. (2020, April 28). What Antibody Studies Can Tell You—And More Importantly, What They Can’t. ProPublica. https://www.propublica.org/article/what-antibody-studies-can-tell-you-and-more-importantly-what-they-cant
Lee, S. M. (2020, April 22) Two Antibody Studies Say Coronavirus Infections Are More Common Than We Think. Scientists Are Mad. https://www.buzzfeednews.com/article/stephaniemlee/coronavirus-antibody-test-santa-clara-los-angeles-stanford