The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ChatGpt: Open Possibilities
Open accessAbstract
ChatGPT-3 is a powerful language model developed by OpenAI that has the potential to revolutionize the way weinteract with technology. This model has been trained on a massive amount of data, allowing it to understand andgenerate human-like text with remarkable accuracy. One of the most exciting possibilities of ChatGPT-3 is its potentialto improve natural language processing (NLP) and natural language understanding (NLU) in a wide range ofapplications. In particular, ChatGPT-3 can be used to power chatbots, virtual assistants, and other conversationalinterfaces. These types of systems are becoming increasingly important as more and more people use voice and text tointeract with technology, we list ChatGpt role in each of the follwoing sections
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“Specifically, ChatGPT was listed in several sources as an efficient and promising tool for conducting comprehensive literature reviews and generating computer codes, thereby saving time for the research steps that require more efforts from human intelligence (e.g., the focus on experimental design) [14,27,28,41,44,46,47,60,71,72].”
From ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023) · cites this paper as [41]
Citations
Cites
Pavlik, J. V. (2023) · Journalism & Mass Communication Educator · doi:10.1177/10776958221149577 · Cited by 972 · cited 1×
“These types of systems are becoming increasingly important as more and more people use voice and text to interact with technology, we list ChatGpt role in each of the follwoing sections[1].”
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Sallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126
“[41] An editorial on the possibilities provided by ChatGPT ChatGPT can help in academic writing; helpful in code generation Inaccurate content including inability handle mathematical calculations to reliably ChatGPT will receive a growing interest in the scientific community”
BackgroundHaleem, A., Javaid, M., & Singh, R. P. (2022) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2023.100089 · Cited by 694
Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023) · BenchCouncil Transactions on Benchmarks, Standards and Evaluations · doi:10.1016/j.tbench.2023.100115 · Cited by 535
Impact of ChatGPT on Learning Motivation: Teachers and Students' Voices
Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. Q. (2023) · Journal of English Studies in Arabia Felix · doi:10.56540/jesaf.v2i1.51 · Cited by 335
Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023) · Narra J · doi:10.52225/narra.v3i1.103 · Cited by 331
Metadata
- Authors
- Aljanabi, M., Ghazi, M., Ali, A. H., Abed, S. A., & ChatGpt
- Affiliations
- Iraqi University (IQ)
- OpenAI (United States) (US)
- ORCID
- Mohammad Aljanabi
- Venue
- Iraqi Journal for Computer Science and Mathematics
- Published
- 2023-01-18
- Pages
- 62-64
- ISSN
- 2788-7421 (ISSN-L)
- OpenAlex
- W4318466538
- Cited by
- 91
- References
- 1
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 37 · 2023: 42
- FWCI
- 7.97
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Iraqi Journal for Computer Science and Mathematics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Keywords
- ChatGPT-3, large language models, natural language processing, natural language understanding, chatbots, virtual assistants, conversational interfaces
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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