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The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
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Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

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Updated: Jul 8, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

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人工智能产生的同行评审的个人经验:一个案例研究.

Nicholas Lo Vecchio1

  • 1Independent researcher, Marseille, France. nlovecchio@gmail.com.

Research integrity and peer review
|April 6, 2025
PubMed
概括

本案例报告详细介绍了一位作者涉嫌人工智能产生的同行评审的经验,强调了关于科学出版中使用大语言模型 (LLM) 的期刊透明度和作者准备的需要.

科学领域:

  • 科学出版科学出版
  • 在学术界的人工智能.
  • 学术传播学术交流

背景情况:

  • 关于人工智能产生的同行评审的社会背景的研究有限,尽管对大型语言模型 (LLM) 使用的语料库级研究.
  • 这篇文章介绍了第一人称收到同行评审报告的第一人称记录,该报告被怀疑是人工智能生成的.

研究的目的:

  • 记录个人经验与可疑的AI产生的同行评价.
  • 为面临类似情况的作者提供经验教训和建议.
  • 倡导在同行评审中使用人工智能的透明政策.

主要方法:

  • 案例报告详细介绍了一起涉及涉嫌人工智能产生的同行评价事件的时间表.
  • 分析文本模式,人工智能检测工具和模拟以支持指控.
  • 来自个人经验和日记互动的建议.

主要成果:

  • 在使用人工智能的指控之后,与期刊进行了为期两个月的争议,导致手稿被撤回.
  • 该期刊否认了伦理违规行为,而没有证实或否认LLM的使用.
  • 作者建议作者积极参与有关人工智能政策和证据收集的期刊.

结论:

关键词:
学术不当行为学术不当行为聊天GPT 聊天GPT 聊天生成性AI是一种人工智能.在此期间,LLMs.大型语言模型.同行评审是一项同行评审.

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  • 期刊必须实施透明的政策,要求在同行评审中披露大型语言模型 (LLM) 的使用情况.
  • 开放的同行评审可能会减轻人工智能的滥用,但在人工智能时代,问责对所有各方至关重要.