ChatGPT Generated Content and Similarity Index in Chemistry

被引：8
作者：
Kirtania, Deep Kumar [1 ]
机构：
[1] Bankura Sammilani Coll, Bankura 722102, West Bengal, India
来源：
JOURNAL OF CHEMICAL INFORMATION AND MODELING | 2023年 / 64卷 / 07期
关键词：
D O I：
10.1021/acs.jcim.3c01110
中图分类号：
R914 [药物化学];
学科分类号：
100701 ;
摘要：
This study aims to verify similarity index of ChatGPT generated content in chemistry. Twenty subsubjects of chemistry based on controlled vocabulary tools, such as Dewey Decimal Classification, Sears List, and LCSH have been considered. The similarity index has been checked using iThenticate, Urkund, and Turnitin. Surprisingly, the matching percentage is relatively low.
引用
收藏
页码：2132 / 2135
页数：4
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