评估ChatGPT引用在头部和部和耳鼻喉学科中的准确性
Andrea Frosolini1, Leonardo Franz2,3, Simone Benedetti4
1Department of Maxillo-Facial Surgery, Policlinico Le Scotte, University of Siena, Siena, Italy. andreafrosolini@gmail.com.
概括
聊天GPT (人工智能) 语言模型可以在科学写作中产生不准确的引用. 虽然4.0版本比3.5更可靠,但两者都可能产生错误或不存在的引用,影响文献完整性.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 科学沟通科学沟通
背景情况:
- 人工智能 (AI) 系统,如ChatGPT,越来越多地在科学写作中讨论它们的潜力.
- 科学文献中人工智能生成的参考文献的可靠性,特别是在专业领域,仍然在很大程度上未经审查.
研究的目的:
- 评估ChatGPT (版本3.5和4.0) 在头部和部医学领域产生的参考资料的准确性和可靠性.
- 为了确定这些AI模型产生的真实,错误和不存在的引用的普遍性.
主要方法:
- 在各种头部和部学科中制定了20个临床问题.
- 聊天GPT版本3.5和4.0被提示为这些问题生成文本和引用.
- 生成的引用与科学数据库进行了交叉引用,并被分类为真实,错误或不存在.
主要成果:
- 与ChatGPT 3.5.5相比,ChatGPT 4.0在生成可靠的引用方面表现出更好的表现.
- 两种AI版本都表现出产生错误或不存在的引用的显著趋势.
- 在头部和部领域,人工智能生成的引用的准确性需要仔细验证.
结论:
- 人工智能语言模型有可能产生不准确的引用,这对科学文献的完整性构成了挑战.
- 对于期刊和机构来说,开发人工智能辅助科学写作的策略和最佳实践是必不可少的.
- 对人工智能生成的参考文献的验证对于维护科学严谨性至关重要.
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