Assessing the Quality of Biomedical Boolean Search Strings Generated by Prompted and Unprompted Models Using ChatGPT: A Pilot Study.

Robyn B Reed, Derek J Barnett
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引用次数: 0

Abstract

This pilot study investigated the use of Generative AI using ChatGPT to produce Boolean search strings to query PubMed. The goals were to determine if ChatGPT could be used in search string formation and if so, which approach was most effective. Research outputs from published systematic reviews were compared to outputs from AI generated search strings. While moderate overlap in publication retrieval between published and AI generated search strings was noted, the numbers were not sufficient to completely replicate published search strings and little difference was observed between prompted and unprompted GPT in using ChatGPT.

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使用ChatGPT评估由提示和非提示模型生成的生物医学布尔搜索字符串的质量:一项试点研究。
这项试点研究调查了使用生成式人工智能,使用ChatGPT生成布尔搜索字符串来查询PubMed。目标是确定ChatGPT是否可以用于搜索字符串形成,如果可以,哪种方法最有效。将已发表的系统综述的研究成果与人工智能生成的搜索字符串的结果进行比较。虽然已发布的搜索字符串和人工智能生成的搜索字符串在发布检索中有一定的重叠,但数量不足以完全复制已发布的搜索字符串,并且在使用ChatGPT时,提示和未提示的GPT之间几乎没有差异。
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来源期刊
Medical Reference Services Quarterly
Medical Reference Services Quarterly Social Sciences-Library and Information Sciences
CiteScore
4.00
自引率
0.00%
发文量
33
期刊介绍: This highly acclaimed, peer-reviewed journal is an essential working tool for medical and health sciences librarians. For those professionals who provide reference and public services to health sciences personnel in clinical, educational, or research settings, Medical Reference Services Quarterly covers topics of current interest and practical value in the areas of reference in medicine and related specialties, the biomedical sciences, nursing, and allied health. This exciting and comprehensive resource regularly publishes brief practice-oriented articles relating to medical reference services, with an emphasis on user education, database searching, and electronic information. Two columns feature the Internet and informatics education.
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