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      Inteligencia Artificial - Chatgpt: un estudio bibliométrico y su aplicación en el caso de Gases de Efecto Invernadero Translated title: Artificial Intelligence - Chatgpt: a bibliometric study and its application in the case of Greenhouse Gases

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          Abstract

          RESUMEN: La aparición de la Inteligencia Artificial (IA) ha potenciado la interacción del ser humano con los sistemas informáticos, que van desde lo cotidiano hasta la investigación aplicada. ChatGPT utiliza el modelo de lenguaje Generative Pre-trained Transformer (GPT) de OpenAI, que permite realizar tareas específicas y responder preguntas. En la actualidad se viene explorando la aplicación de este modelo de lenguaje en distintas áreas de investigación tales como educación, salud, etc. Este estudio busca caracterizar la bibliometría de “ChatGPT” y analizar su posible aplicación en la revisión de literatura sobre gases de efecto invernadero. Hasta el 17 de enero de 2024, se han registrado 4 288 documentos científicos que mencionan a la IA, siendo Estados Unidos, el país con mayor aporte de documentos. Al consultar sobre ¿Cuáles son las principales aplicaciones en que ChatGPT revolucionará la búsqueda sobre gases de efecto invernadero en el mundo? Las respuestas fueron: acceso a información actualizada, análisis y modelado, divulgación científica, asesoramiento y recomendaciones; y educación y concientización. ChatGPT proporciona respuestas útiles y relevantes, sin embargo, no fundamenta sus respuestas. Por esta razón, la sustentación técnica y científica sigue siendo responsabilidad del investigador, dado que esta Inteligencia Artificial complementa el juicio humano, no la reemplaza.

          Translated abstract

          ABSTRACT: The emergence of Artificial Intelligence (AI) has enhanced human interaction with computer systems, spanning from everyday tasks to applied research. ChatGPT utilizes the Generative Pre-trained Transformer (GPT) language model by OpenAI, enabling it to perform specific tasks and respond to questions. Currently, the application of this language model is being explored in various research areas such as education, health, etc. This study aims to characterize the bibliometrics of "ChatGPT" and analyze its potential application in the literature review on greenhouse gases. As of January 17, 2024, 4,288 scientific documents mentioning AI have been recorded, with the United States contributing the most documents. When inquiring about the main applications where ChatGPT will revolutionize the search for information on greenhouse gases worldwide, the responses include: access to updated information, analysis and modeling, scientific dissemination, advice and recommendations, and education and awareness. While ChatGPT provides useful and relevant answers, it does not provide a foundation for its responses. Therefore, the technical and scientific justification remains the responsibility of the researcher, as this Artificial Intelligence complements human judgment but does not replace it.

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          Most cited references45

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          An index to quantify an individual's scientific research output.

          I propose the index h, defined as the number of papers with citation number > or =h, as a useful index to characterize the scientific output of a researcher.
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            ChatGPT is fun, but not an author

            In less than 2 months, the artificial intelligence (AI) program ChatGPT has become a cultural sensation. It is freely accessible through a web portal created by the tool’s developer, OpenAI. The program—which automatically creates text based on written prompts—is so popular that it’s likely to be “at capacity right now” if you attempt to use it. When you do get through, ChatGPT provides endless entertainment. I asked it to rewrite the first scene of the classic American play Death of a Salesman , but to feature Princess Elsa from the animated movie Frozen as the main character instead of Willy Loman. The output was an amusing conversation in which Elsa—who has come home from a tough day of selling—is told by her son Happy, “Come on, Mom. You’re Elsa from Frozen . You have ice powers and you’re a queen. You’re unstoppable.” Mash-ups like this are certainly fun, but there are serious implications for generative AI programs like ChatGPT in science and academia.
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              Factors affecting number of citations: a comprehensive review of the literature

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                Author and article information

                Journal
                mang
                Manglar
                Manglar
                Universidad Nacional de Tumbes (Tumbes, , Peru )
                1816-7667
                2414-1046
                January 2024
                : 21
                : 1
                : 149-157
                Affiliations
                [1] Lima Lima orgnameUniversidad Nacional Agraria La Molina orgdiv1Facultad de Economía y Planificación Peru
                Article
                S2414-10462024000100149 S2414-1046(24)02100100149
                10.57188/manglar.2024.015
                78c25044-1f04-4273-aeef-1f7643500d6d

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

                History
                : 10 March 2024
                : 10 March 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 45, Pages: 9
                Product

                SciELO Peru

                Categories
                Artículos de revisión

                inteligencia artificial,investigación aplicada,chatbot,búsqueda de información,producción científica.,artificial intelligence,applied research,information search,scientific production.

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