ChatGPT与期刊评论的未来:可行性研究。

IF 2.5 3区 工程技术 Q2 BIOLOGY Yale Journal of Biology and Medicine Pub Date : 2023-09-29 eCollection Date: 2023-09-01 DOI:10.59249/SKDH9286
Som Biswas, Dushyant Dobaria, Harris L Cohen
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引用次数: 0

摘要

提交给学术期刊的研究数量不断增加,这对传统的同行评审过程构成了重大挑战。为了解决这个问题,本研究探索了使用由OpenAI开发的高级大型语言模型(LLM)ChatGPT作为学术期刊人工智能(AI)评审员的潜力。通过利用ChatGPT的丰富知识和自然语言处理能力,我们假设有可能提高同行评审过程的效率、一致性和质量。这项研究调查了将ChatGPT集成到期刊评论工作流程中的关键方面。我们将ChatGPT作为人工智能评审员的批判性分析与人类对一篇发表文章的评论进行了比较。我们的方法框架包括对ChatGPT进行复杂的检查,其中将其评估敏锐性与人类对一篇单独发表的文章的评论并置。由于这是一项可行性研究,因此回顾了一篇关于坏血病的病例报告。整篇文章被用作ChatGPT的输入,并命令它“请对以下文章进行审查,并给出修改要点。”由于这是一份字数有限的病例报告,整篇文章可以放在一个聊天框中。然后将ChatGPT的输出与人工评审员的评论进行比较。包括准确性和总体一致性在内的关键性能指标经过了明智和主观的测量,以描述ChatGPT作为人工智能审查员与人类同行相比的功效。这项严格分析的结果揭示了关于ChatGPT作为人工智能审查员的表现的令人信服的证据。我们证明了ChatGPT的批判性分析与人类评审者的批判性分析一致,评分者之间的一致性证明了这一点。值得注意的是,ChatGPT在识别方法论缺陷、阐明对理论框架的深刻反馈以及衡量文章对各自领域的总体贡献方面表现出了值得称赞的能力。虽然ChatGPT的集成显示出巨大的前景,但某些挑战和警告浮出水面。例如,复杂的研究文章可能会出现歧义,导致人工智能和人类评论之间存在细微的差异。此外,ChatGPT无法查看图形和图像。冗长的文章需要由ChatGPT进行部分审查,因为整篇文章不适合一个聊天/回复。这些好处包括减少了期刊审查提交给他们的文章所需的时间,以及一个人工智能助理,可以对研究论文提供不同的视角,而不是人类审稿人。总之,这项研究为将ChatGPT纳入期刊评论家的万神殿奠定了开创性的基础。所描述的指导方针提炼出了在学术期刊框架内将ChatGPT作为一名熟练的评审员来运作的关键见解,为更高效、更有洞察力的评审过程铺平了道路。
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ChatGPT and the Future of Journal Reviews: A Feasibility Study.

The increasing volume of research submissions to academic journals poses a significant challenge for traditional peer-review processes. To address this issue, this study explores the potential of employing ChatGPT, an advanced large language model (LLM), developed by OpenAI, as an artificial intelligence (AI) reviewer for academic journals. By leveraging the vast knowledge and natural language processing capabilities of ChatGPT, we hypothesize it may be possible to enhance the efficiency, consistency, and quality of the peer-review process. This research investigated key aspects of integrating ChatGPT into the journal review workflow. We compared the critical analysis of ChatGPT, acting as an AI reviewer, to human reviews for a single published article. Our methodological framework involved subjecting ChatGPT to an intricate examination, wherein its evaluative acumen was juxtaposed against human-authored reviews of a singular published article. As this is a feasibility study, one article was reviewed, which was a case report on scurvy. The entire article was used as an input into ChatGPT and commanded it to "Please perform a review of the following article and give points for revision." Since this was a case report with a limited word count the entire article could fit in one chat box. The output by ChatGPT was then compared with the comments by human reviewers. Key performance metrics, including precision and overall agreement, were judiciously and subjectively measured to portray the efficacy of ChatGPT as an AI reviewer in comparison to its human counterparts. The outcomes of this rigorous analysis unveiled compelling evidence regarding ChatGPT's performance as an AI reviewer. We demonstrated that ChatGPT's critical analyses aligned with those of human reviewers, as evidenced by the inter-rater agreement. Notably, ChatGPT exhibited commendable capability in identifying methodological flaws, articulating insightful feedback on theoretical frameworks, and gauging the overall contribution of the articles to their respective fields. While the integration of ChatGPT showcased immense promise, certain challenges and caveats surfaced. For example, ambiguities might present with complex research articles, leading to nuanced discrepancies between AI and human reviews. Also figures and images cannot be reviewed by ChatGPT. Lengthy articles need to be reviewed in parts by ChatGPT as the entire article will not fit in one chat/response. The benefits consist of reduction in time needed by journals to review the articles submitted to them, as well as an AI assistant to give a different perspective about the research papers other than the human reviewers. In conclusion, this research contributes a groundbreaking foundation for incorporating ChatGPT into the pantheon of journal reviewers. The delineated guidelines distill key insights into operationalizing ChatGPT as a proficient reviewer within academic journal frameworks, paving the way for a more efficient and insightful review process.

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来源期刊
Yale Journal of Biology and Medicine
Yale Journal of Biology and Medicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.00
自引率
0.00%
发文量
41
期刊介绍: The Yale Journal of Biology and Medicine (YJBM) is a graduate and medical student-run, peer-reviewed, open-access journal dedicated to the publication of original research articles, scientific reviews, articles on medical history, personal perspectives on medicine, policy analyses, case reports, and symposia related to biomedical matters. YJBM is published quarterly and aims to publish articles of interest to both physicians and scientists. YJBM is and has been an internationally distributed journal with a long history of landmark articles. Our contributors feature a notable list of philosophers, statesmen, scientists, and physicians, including Ernst Cassirer, Harvey Cushing, Rene Dubos, Edward Kennedy, Donald Seldin, and Jack Strominger. Our Editorial Board consists of students and faculty members from Yale School of Medicine and Yale University Graduate School of Arts & Sciences. All manuscripts submitted to YJBM are first evaluated on the basis of scientific quality, originality, appropriateness, contribution to the field, and style. Suitable manuscripts are then subject to rigorous, fair, and rapid peer review.
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