估计可疑开放获取期刊的可预测性
Han Zhuang1, Lizhen Liang2, Daniel E Acuna3
1Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, China.
Science advances
|August 27, 2025
概括
人工智能可以通过分析网站数据系统地识别可疑的期刊. 这种可扩展的方法通过标记成千上万的可疑出版物来帮助研究完整性,补充专家审查.
科学领域:
- 图书统计学
- 学术交流
- 研究诚信
背景情况:
- 质疑性期刊对全球研究的完整性构成重大威胁.
- 手动对期刊进行审查往往很慢,
- 越来越多的人担心在学术出版物中找到了掠夺性或不可靠的出版机构.
研究的目的:
- 探索人工智能 (AI) 系统识别可疑期刊的潜力.
- 开发和评估一个基于人工智能的方法来评估期刊的合法性.
- 提供可扩展的解决方案来检测不可靠的学术出版机构.
主要方法:
- 利用人工智能 (AI) 分析期刊网站设计,内容和出版物元数据.
- 训练和评估人工智能模型与广泛的人类注释数据集.
- 调整决策门以平衡全面的选与精确的识别.
主要成果:
- 人工智能方法在识别可疑期刊方面取得了实际准确性.
- 超过1000个可疑日志被标记在一个平衡的门.
- 这些标记的期刊发表大量的文章并获得大量的引用.
结论:
- 人工智能提供了一个强大的,可扩展的工具来增强研究完整性检查.
- 使用人工智能的自动分类可以有效地识别潜在的问题期刊.
- 整合人工智能与专家审查对于学术场所的严格审查至关重要.
相关概念视频
Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
Probability Laws
41.7K
Overview
41.7K
Quantifying and Rejecting Outliers: The Grubbs Test
2.0K
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
2.0K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
174
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
174
Propagation of Uncertainty from Systematic Error
882
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
882
Propagation of Uncertainty from Random Error
1.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.1K


