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ChatGPT's scorecard after the performance in a series of tests conducted at the multi-country level : A pattern of responses of generative artificial intelligence or large language models

Bhattacharya, Manojit (author)
Fakir Mohan Univ, Dept Zool, Balasore 756020, Odisha, India.
Pal, Soumen (author)
Vellore Inst Technol, Sch Mech Engn, Vellore 632014, Tamil Nadu, India.
Chatterjee, Srijan (author)
Hallym Univ, Chuncheon Sacred Heart Hosp, Inst Skeletal Aging & Orthoped Surg, Chunchon 24252, Gangwon Do, South Korea.
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Alshammari, Abdulrahman (author)
King Saud Univ, Coll Pharm, Dept Pharmacol & Toxicol, POB 2455, Riyadh 11451, Saudi Arabia.
Albekairi, Thamer H. (author)
King Saud Univ, Coll Pharm, Dept Pharmacol & Toxicol, POB 2455, Riyadh 11451, Saudi Arabia.
Jagga, Supriya (author)
Harvard Med Sch, Brigham & Womens Hosp, Div Endocrinol, 25 Shattuck St, Boston, MA 02115 USA.
Ohimain, Elijah Ige (author)
Niger Delta Univ, Microbiol Dept, Amassoma, Bayelsa State, Nigeria.
Zayed, Hatem (author)
Qatar Univ, Coll Hlth & Sci, Dept Biomed Sci, QU Hlth, Doha, Qatar.
Byrareddy, Siddappa N. (author)
Univ Nebraska Med Ctr, Dept Pharmacol & Expt Neurosci, Omaha, NE 68198 USA.
Lee, Sang-Soo (author)
Hallym Univ, Chuncheon Sacred Heart Hosp, Inst Skeletal Aging & Orthoped Surg, Chunchon 24252, Gangwon Do, South Korea.
Wen, Zhi-Hong (author)
Natl Sun Yat Sen Univ, Dept Marine Biotechnol & Resources, Kaohsiung 80424, Taiwan.
Agoramoorthy, Govindasamy (author)
Tajen Univ, Coll Pharm & Hlth Care, Pingtung 907, Taiwan.
Bhattacharya, Prosun, 1962- (author)
KTH,Vatten- och miljöteknik
Chakraborty, Chiranjib (author)
Adamas Univ, Sch Life Sci & Biotechnol, Dept Biotechnol, Kolkata 700126, W Bengal, India.
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Fakir Mohan Univ, Dept Zool, Balasore 756020, Odisha, India Vellore Inst Technol, Sch Mech Engn, Vellore 632014, Tamil Nadu, India. (creator_code:org_t)
Elsevier BV, 2024
2024
English.
In: Current Research in Biotechnology. - : Elsevier BV. - 2590-2628. ; 7
Related links:
https://doi.org/10.1...
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https://urn.kb.se/re...
https://doi.org/10.1...
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Recently, researchers have shown concern about the ChatGPT-derived answers. Here, we conducted a series of tests using ChatGPT by individual researcher at multi-country level to understand the pattern of its answer accuracy, reproducibility, answer length, plagiarism, and in-depth using two questionnaires (the first set with 15 MCQs and the second 15 KBQ). Among 15 MCQ-generated answers, 13 +/- 70 were correct (Median : 82.5; Coefficient variance : 4.85), 3 +/- 0.77 were incorrect (Median: 3, Coefficient variance: 25.81), and 1 to 10 were reproducible, and 11 to 15 were not. Among 15 KBQ, the length of each question (in words) is about 294.5 +/- 97.60 (mean range varies from 138.7 to 438.09), and the mean similarity index (in words) is about 29.53 +/- 11.40 (Coefficient variance: 38.62) for each question. The statistical models were also developed using analyzed parameters of answers. The study shows a pattern of ChatGPT-derive answers with correctness and incorrectness and urges for an error-free, next-generation LLM to avoid users' misguidance.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

ChatGPT
Accuracy
Reproducibility
Plagiarism
Answer length

Publication and Content Type

ref (subject category)
art (subject category)

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