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This paper discusses the effectiveness of leveraging Chatbot: Generative Pre-trained Transformer (ChatGPT) versions 3.5 and 4 for analyzing research papers for effective writing of scientific literature surveys. The study selected the \textit{Application of Artificial Intelligence in Breast Cancer Treatment} as the research topic. Research papers related to this topic were collected from three major publication databases Google Scholar, Pubmed, and Scopus. ChatGPT models were used to...
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Abstract Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation extraction and demonstrate how pretrained large language models (GPT-3, Llama-2) can be fine-tuned to extract useful records of complex scientific knowledge. We test three representative tasks in materials chemistry: linking dopants and host materials, cataloging metal-organic...
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This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates previous research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of...
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Abstract With the accelerating growth of the academic corpus, doubling every 9 years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text...
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Greetings, if our institution opts for the Tier 3 plan for the ChatGPT API, allowing students to utilize our API, and the usage either surpasses or falls below the predefined limits of Tier 3, how does it influence the monthly pricing? To clarify, if usage exceeds the Tier 3 limits, will our monthly payment remain fixed at $1000, or will the pricing be adapted according to our actual usage? You can refer to the link provided for details on the tier plans: https://platform.openai.com/docs/guides/...
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Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these...
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Automatic synthesis of RCTs
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Conceptual modeling is an important part of information systems development and use that involves identifying and representing relevant aspects of reality. Although the past decades have experienced continuous digitalization of services and products that impact business and society, conceptual modeling efforts are still required to support new technologies as they emerge. This paper surveys research on conceptual modeling over the past five decades and shows how its topics and trends...
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Based in New York, we serve users from thousands of universities & companies on search, review, text rewriting and more.
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ChatGPT has lots of different plans, models and services. But how much do they actually cost? We take a closer look.
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An output of the EdTech Hub, https://edtechhub.org/
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ChatGPT Plus costs $20 per month ($23.80/month for EU + UK). The ChatGPT API costs $0.002 for every 1000 tokens.
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Abstract Reviews have long been recognized as among the most important forms of scientific communication. The rapid growth of the primary literature has further increased the need for reviews to distill and interpret the literature. This review on Reviews and Reviewing: Approaches to Research Synthesis encompasses the evolution of the review literature, taxonomy of review literature, uses and users of reviews, the process of preparing reviews, assessment of review quality and...
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Many organisations struggle to keep pace with public health evidence due to the volume of published literature and length of time it takes to conduct literature reviews. New technologies that help automate parts of the evidence synthesis process can help conduct reviews more quickly and efficiently to better provide up-to-date evidence for public health decision making. To date, automated approaches have seldom been used in public health due to significant barriers to their adoption. In...
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web-based citation screening tool
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AI assistants are changing how we interact with technology, helping us with tasks like answering questions and creating content. Google and Bing have already added AI like Bard and Bing Chat to their platforms. However, there’s a new player in the market: Perplexity AI. In this post, we will look at Perplexity AI and its […]
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As the original AI qualitative data analysis software, NVivo has fine-tuned the autocoding feature that lets researchers conduct text data analysis with AI to detect and code themes and sentiments.
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