Optimizing the search and analysis of scientific articles in mammalogy through the use of academic platforms with Artificial Intelligence
ChatGPT Foto:https://innovacion.uas.edu.mx/chatgpt-inteligencia-artificial-en-un-click/
pdf (Español (España))

Keywords

Information analysis
Artificial Intelligence
Claude
Elicit
ResearchRabbit
Semantic Scholar
literature review

How to Cite

Rodas-Trejo, J. (2024). Optimizing the search and analysis of scientific articles in mammalogy through the use of academic platforms with Artificial Intelligence. Revista Mexicana De Mastozoología (nueva época), 14(1), 71–80. https://doi.org/10.22201/ie.20074484e.2024.14.1.409

Abstract

A new innovative work method is proposed to optimize the search, review, and analysis of scientific articles using academic platforms with Artificial Intelligence (AI). Tools such as ResearchRabbit, Semantic Scholar, Elicit, and Claude are described, detailing how to integrate them into the research process efficiently. The proposed approach significantly speeds up the literature review, giving researchers more time for critical analysis. The importance of validating the information provided by these platforms is highlighted, and the ethics of using AI in academic research are discussed. A useful guide is provided for researchers, particularly in Mammalogy, showing how these tools can increase efficiency without replacing human analysis. The limitations of free versions are discussed and the need to adapt according to the specific needs of each researcher is emphasized.

https://doi.org/10.22201/ie.20074484e.2024.14.1.409
pdf (Español (España))

References

Abbas, N., I. Ali, R. Manzoor, T. Hussain, y M.H.A.I. Hussain. 2023. Role of Artificial Intelligence tools in enhancing students’ educational performance at higher levels. Journal of Artificial Intelligence Machine Learning and Neural Network, 35:36-49. https://doi.org/10.55529/jaimlnn.35.36.49

Al-Rsa’i, M.S. 2013. Promoting scientific literacy by using ICT in science teaching. International Education Studies, 6. https://doi.org/10.5539/ies.v6n9p175

Berrami, H., M. Jallal, Z. Serhier y M.B. Othmani. 2024. Exploring the horizon: The impact of AI tools on scientific research. Data & Metadata, 3:289. https://doi.org/10.56294/dm2024289

Borenstein, J. y A.M. Howard. 2020. Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1:61-65. https://doi.org/10.1007/s43681-020-00002-7

Castillo-Segura, P., C. Alario-Hoyos, C.D. Kloos y C.F. Panadero. 2023. Leveraging the potential of generative AI to accelerate systematic literature reviews: an example in the area of educational technology. 2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC). https://doi.org/10.1109/weef-gedc59520.2023.10344098

Cole, V., y M. Boutet. 2023. ResearchRabbit (product review). Journal of The Canadian Health Libraries Association / Journal de L Association de Bilbiothèques de la Santé Du Canada, 44:43-47. https://doi.org/10.29173/jchla29699

Dixon, Z. y K. George. 2020. Monitoring uncharted communities of crowdsourced plagiarism. Journal of Academic Ethics, 19:291-301. https://doi.org/10.1007/s10805-020-09381-2

Giglio, A. y M.U.P. Costa. 2023. The use of artificial intelligence to improve the scientific writing of non-native English speakers. Revista Da Associação Médica Brasileira (1992), 69: e20230560. https://doi.org/10.1590/1806-9282.20230560

Hannousse, A. 2021. Searching relevant papers for software engineering secondary studies: Semantic Scholar coverage and identification role. IET Software, 15:126-146. https://doi.org/10.1049/sfw2.12011

He, G., A. Sun y W. Lu. 2023. Research explosion: More effort to climb onto shoulders of the giant. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2307.06506

Jobin, A. y M. Ienca. 2019. The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1:389-399. https://doi.org/10.1038/s42256-019-0088-2

Kacperski, C., M. Bielig, M. Makorthyk, M. Sydorova y R. Ulloa. 2023. Examining bias perpetuation in academic search engines: an algorithm audit of Google and Semantic Scholar. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2311.09969

Kinney, R., C. Anastasiades, R. Authur, I. Beltagy, J. Bragg, A. Buraczynski, I. Cachola, S. Candra, Y. Chandrasekhar, A. Cohan, M. Crawford, D. Downey, J. Dunkelberger, O. Etzioni, R. Evans, S. Feldman, J. Gorney, D. Graham, F. Hu, . . . D.S. Weld. 2023. The Semantic Scholar Open Data platform. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2301.10140

Koga, S. 2023. The Integration of large language models such as ChatGPT in scientific writing: Harnessing potential and addressing pitfalls. Korean Journal of Radiology/Korean Journal of Radiology, 24(9):924. https://doi.org/10.3348/kjr.2023.0738

Kooli, C. 2023. Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15:5614. https://doi.org/10.3390/ su15075614

Landhuis, E. 2016. Scientific literature: Information overload. Nature, 535:457-458. https://doi.org/10.1038/nj7612-457a

Morera, A. 2023. Foundation models in shaping the future of ecology. Ecological Informatics, 80:102545. https://doi.org/10.22541/au.169996552.25188347/v1

Pinchuk, O. y I. Malytska 2024. ВІДПОВІДАЛЬНЕ ТА ЕТИЧНЕ ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ в ДОСЛІДНИЦЬКІЙ і ПУБЛІКАЦІЙНІЙ ДІЯЛЬНОСТІ. Ìnformacìjnì Tehnologìï Ì Zasobi Navčannâ, 100:180-198. https://doi.org/10.33407/itlt.v100i2.5676

Salvagno, M., F.S. Taccone y A.G. Gerli. 2023. Can artificial intelligence help for scientific writing? Critical Care, 27:1-5. https://doi.org/10.1186/s13054-023-04380-2

Sharma, R., S. Gulati, A. Kaur, A. Sinhababu y R. Chakravarty. 2022. Research discovery and visualization using ResearchRabbit: A use case of AI in libraries. Collnet Journal of Scientometrics And Information Management/Collnet Journal Of Scientometrics And Information Management, 16:215-237. https://doi.org/10.1080/09737766.2022.2106167

Shopovski, J. 2024. Generative artificial intelligence, AI for scientific writing: A literature review. Preprints 2024, 2024060011. https://doi.org/10.20944/preprints202406.0011.v1

Uppalapati, V.K. y D.S. Nag. 2024. A comparative analysis of AI models in complex medical decision-making scenarios: Evaluating ChatGPT, Claude AI, Bard, and Perplexity. Curēus, 16:1-6. https://doi.org/10.7759/cureus.52485

Vivas-Lindo, R., O. Hernández-Ordóñez, M.A. Rodríguez-Salazar, V.H. Reynoso y Serna-Lagunes, R. 2020. Recent records of Tapirella bairdii and Panthera onca in a region highly transformed by human activities in southern Veracruz, México. Therya, 11:151-156. https://doi.org/10.12933/therya-20-768

White, J., Q. Fu, S. Hays, M. Sandborn, C. Olea, H. Gilbert, A. Elnashar, J. Spencer-Smith, y D.C. Schmidt. 2023. A prompt pattern catalog to enhance prompt engineering with ChatGPT. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2302.11382

Whitfield, S. y M.A. Hofmann. 2023. Elicit: AI literature review research assistant. Public Services Quarterly/Public & Access Services Quarterly, 19:201-207. https://doi.org/10.1080/15228959.2023.2224125

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2024 UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO

Downloads

Download data is not yet available.

PLUMX Metrics