Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure"

Here you can find the scripts, data and output to reproduce our study "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and Decision Tree". In this study, we reconstructed a database to perform a simulation study in ASReview. A solution for the problems faced is presented: the NLF procedure (noisy label filter).

本处可查阅本研究“应对系统综述数据集重建的挑战：一项案例研究与决策树”的相关脚本、数据及输出结果，以实现研究的重现。本研究中，我们对数据库进行了重建，以在ASReview中执行模拟研究。针对所遇到的问题，提出了解决方案：无噪声标签过滤（NLF）程序。