ChatGPT Generated Content and Similarity Index in Chemistry
Deep Kumar Kirtania
Abstract
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.
Topics & Concepts
Similarity (geometry)Index (typography)Content (measure theory)Matching (statistics)Structural similarityChemistryComputer scienceInformation retrievalVocabularyDecimalMathematicsArtificial intelligenceStatisticsArithmeticWorld Wide WebPhilosophyLinguisticsImage (mathematics)Mathematical analysisMachine Learning in Materials ScienceArtificial Intelligence in Healthcare and EducationTopic Modeling