聊天GPT可以识别掠夺性的生物医学和牙科期刊吗? 一个横截面的内容分析
Dalya Al-Moghrabi1, Sarah Abu Arqub2, Michael P Maroulakos3
1Department of Preventive Dental Sciences, College of Dentistry, Princess Nourah bint Abdulrahman University, P.O. Box: 84428 Airport Road, Riyadh 11671, Saudi Arabia.
Journal of dentistry
|January 14, 2024
概括
聊天GPT在识别掠夺性的生物医学和牙科期刊方面表现出高度准确性. 这种人工智能工具显示出有很大的潜力,可以帮助研究人员区分合法出版物和掠夺性出版物.
科学领域:
- 图书计量和学术交流.
- 人工智能在科学研究评估中的作用.
背景情况:
- 掠夺性期刊对科学出版的完整性构成重大威胁.
- 识别这些期刊对于研究人员来说至关重要,以避免剥削并保持信誉.
研究的目的:
- 评估ChatGPT在识别掠夺性的生物医学和牙科期刊中的有效性.
- 分析ChatGPT的响应内容以查找期刊合法性或掠夺性指标.
主要方法:
- 从多个来源选取了400个期刊 (掠夺性和合法) 的样本.
- 聊天GPT被要求对每个期刊的合法性进行分类.
- 进行了统计分析,包括皮尔森的奇平方测试和后勤回归.
主要成果:
- 聊天GPT的准确率很高:掠夺性期刊的准确率为92.5%,合法期刊的准确率为71%.
- 总体准确度为0.82,具有高灵敏度 (0.93) 和特异性 (0.71).
- 聊天GPT判决显示,与已建立的期刊分类有着高度显著的关联 (P <0.001).
结论:
- 聊天GPT展示了一个强大的能力,准确地区分掠夺性和合法期刊.
- 尽管存在较小的虚假阳性和负性率,但ChatGPT显示为有前途的工具,有助于识别掠夺性出版物.
- 进一步探索大型语言模型来检测掠夺性出版是有必要的.
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