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定制GPT,以协助对学术出版业报告标准的合规性检查
Ronit Mohapatra1, Thomas Hartung1,2,3
1Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD, USA.
ALTEX
|January 13, 2026
概括
生物医学中的报告标准至关重要,但很难执行. 新的人工智能驱动的"合规副驾驶员"在手稿撰写期间提供交互式指导,使严格的报告更容易和更一致.
科学领域:
- 生物医学研究的研究.
- 科学报告标准 科学报告标准
- 科学中的人工智能.
背景情况:
- 尽管有许多报告标准,但由于合规性挑战,不完整的方法报告是常见的.
- 现有的检查清单是繁的,不一致的执法,并且不好地集成到科学写作工作流程中.
- 更好的报告是可重复生物医学研究的基本基础设施.
研究的目的:
- 探索一种务实的方法,以改善对报告标准的遵守.
- 开发交互式,人工智能驱动的指导工具,用于科学手稿的准备.
- 将静态报告检查列表转换为动态的,集成的支持系统.
主要方法:
- 开发了三个基于GPT的定制AI助手 (合规副驾驶员).
- 副试点与特定的报告框架保持一致:良好的体外报告标准 (GIVReSt),ToxRTool和ARRIVE.
- 工具提供实时反,标记缺少的信息,并在手稿撰写期间提供建议.
主要成果:
- 早期的基准测试表明,人工智能副驾驶员可以对报告检查清单项目的专家判断进行近似评估.
- 人工智能方法实现了高一致性,并大大减少了合规性检查所需的时间.
- 分析强调了"严格"和"宽松"解释的重要性,以及人工智能作为决策支持的作用.
结论:
- 人工智能可以将报告标准从志向目标转变为例行实践.
- 使严格的报告成为阻力最小的途径是提高科学透明度的关键.
- 人工智能的文化整合比技术本身更为关键,以提高报告标准.
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