AI Search Engine

 Avoid Plagiarism and Copyright Infringement: LLMs could inadvertently reproduce significant text chunks from existing sources without due citation, infringing others' intellectual property. As the work's author, you bear responsibility for confirming that there is no plagiarized content in your submission.

 Be Aware of Bias: Because LLMs have been trained on text that includes biases, and because there is an inherent bias in AI tools because of human programming, AI-generated text may reproduce these biases, such as racism or sexism, or may overlook perspectives of populations that have been historically marginalized. Relying on LLMs to generate text or images can inadvertently propagate these biases so you should carefully review all AI-generated content to ensure it’s inclusive, impartial, and appeals to a broad readership.

  Editors and reviewers must uphold the confidentiality of the peer review process. Editors must not share information about submitted manuscripts or peer review reports in generative AI tools such as ChatGPT. Reviewers must not use AI tools, including but not limited to ChatGPT, to generate review reports.

 The use of artificial intelligence (AI) tools such as ChatGPT or Large Language Models in research publications is expanding rapidly. COPE joins organizations, such as WAME and the JAMA Network among others, to state that AI tools cannot be listed as an author of a paper. - COPE

 AI tools cannot meet the requirements for authorship as they cannot take responsibility for the submitted work. As non-legal entities, they cannot assert the presence or absence of conflicts of interest nor manage copyright and license agreements. - COPE

 Please disclose the use of any generative-AI tools in the writing of a manuscript, the production of images or graphical elements, or the collection and analysis of data. In the “Use of AI tools declaration” we ask that you disclose which tool was used as well as a description of how the tool was used. Authors are fully responsible for the content of their manuscript, including any portion produced by an AI tool, and are thus liable for any breach of publication ethics.

 If there is nothing to disclose, there is no need to add a declaration (Remember, there is no need to disclose the use of Assistive-AI). If there is generative-AI use to disclose, here is a guide for an acceptable disclosure.

 The resources described in the table represent an incomplete list of tools specifically geared towards exploring and synthesizing research. As generative AI becomes more integrated in online search tools, even the very early stages of research and topic development could incorporate AI. If you have any questions about using these tools for your research, please Email a Librarian.

 AI tools for research can help you to discover new sources for your literature review or research assignment. These tools will synthesize information from large databases of scholarly output with the aim of finding the most relevant articles and saving researchers' time. As with our research databases or any other search tool, however, it's important not to rely on one tool for all of your research, as you will risk missing important information on your topic of interest.

 Semantic Reader is an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual. It "uses artificial intelligence to understand a document’s structure and merge it with the Semantic Scholar’s academic corpus, providing detailed information in context via tooltips and other overlays." .

 TLDRs "are super-short summaries of the main objective and results of a scientific paper generated using expert background knowledge and the latest GPT-3 style NLP techniques. This new feature is available in beta for nearly 60 million papers in computer science, biology, and medicine..."

 Elicit is a research assistant using language models like GPT-3 to automate parts of researchers’ workflows. Currently, the main workflow in Elicit is Literature Review. If you ask a question, Elicit will show relevant papers and summaries of key information about those papers in an easy-to-use table. ; Find answers from 175 million papers. FAQS

 Notebook, a new workflow to make collaborative research like systematic reviews easier. Search, chat, and extract from papers > Share notebooks with anyone, even those who don’t have accounts > Screen papers for systematic review with yes/no/maybe > Filter search results by journal quality or paper content > Export search results to a RIS file.

 When the AI recognizes certain types of research questions, this functionality may be activated. It will examine a selection of some studies and provide a summary along with a Consensus Meter illustrating their collective agreement. Try this search: Is white rice linked to diabetes? The Consensus Meter reveals the following outcomes after analyzing 10 papers: 70% indicate a positive association, 20% suggest a possible connection, and 10% indicate no link.

 Each keyword search or AI query generates a synthesis report with citations. To adjust the search results, simply click on the Re-Generate button to refresh the report and the accompanied citations. After that click on Follow-Up Questions to go deeper into a specific area or subject.

 When you read a paper, under Basic Information select any of the following tools to get more information: Basic Information > Related Paper Graph> Paper Espresso > Paper Q&A, and > Notes. The Related Paper Graph will present the related studies in a visual map with relevancy indication by percentage.

 Read or upload a document and let Paper Espresso analyze it for you. It will organize the content into a standard academic report format for easy reference: Background and Context > Research Objectives and Hypotheses > Methodology > Results and Findings > Discussion and Interpretation > Contributions to the field > Structure and Flow > Achievements and Significance, and > Limitations and Future Work.

 100s of millions of academic articles and covers more than 90%+ of materials that can be found in major databases used by academic institutions (such as Scopus, Web of Science, and others). See its FAQs page. Search algorithms were borrowed from NIH and Semantic Scholar.

 The default “Untitled Collection” will collect your search histories, based on which Research Rabbit will send you recommendations for three types of related results: Similar Works / Earlier Works / Later Works, viewable in graph such as Network, Timeline, First Authors etc.

Research Engine

 Neonatal mortality, Post-neonatal mortality, Stillbirths, Low birth weight, Malnutrition, Infectious diseases, Vaccination, Maternal health, Access to healthcare, Poverty, Social inequality, Sanitation, Hygiene, Water quality, Childbirth complications, Congenital abnormalities, Birth defects, Maternal age, Under-five mortality, Child mortality, Perinatal mortality, Preterm birth, Low birth weight, Sudden infant death syndrome (SIDS), Maternal mortality, Postnatal care, Malnutrition, Immunization, Access to healthcare, Clean water and sanitation, Congenital anomalies, Infant health disparities, Infant mortality rate (IMR), Infant survival.

  I am going to conduct a systematic review on games and mathematics related to K-12 education I want you to act as a systematic review expert. I will ask you some questions related to my research topic and you advise me on how to do it.

 Please note that the above prompts are merely for illustrative purposes. Actual questions may contain more specific instructions. As an example, for the first question, could you provide guidance on how to identify relevant publications? Specifically, can you provide a list of the primary databases and grey literature sources related to my topic?

 The ERIC Thesaurus contains nearly 12,000 terms, including more than 4,500 descriptors and 7,000 synonyms1. You can use the term “Academic Achievement” or its synonyms such as “Educational Achievement”, “Student Achievement”, “Academic Performance”, “Academic Success”, “Learning Achievement” and more.

 For psychology, some recommended grey literature databases include PsycEXTRA and PsyArXiv. PsycEXTRA is a database of grey literature material relating to psychology, behavioral sciences and health. PsyArXiv is a psychology archive designed to facilitate rapid dissemination of psychological research.

 SERVCO: This is a modified version of SERVQUAL that includes a sixth dimension, "cost," in addition to the five original dimensions. It was developed by Sureshchandar et al. (2002) to address the importance of cost in service quality evaluation.

 Use a basic prompt like "Please summarize ...." or add a REFERENCE TEXT that provides the necessary information about what you want it to focus or how the summary or resolution should look like. The reference could be a quote, an excerpt, a partial sentence, a conversation, an abstract, a code snippet and so on. Formula: Specify a role > assign a task > provide a reference text.

 Prompt: As a research assistant specializing in renewable energy, your task is to locate comparable research studies based on the provided abstract from an article: "This paper discusses the perspective of renewable energy (wind, solar, wave and biomass) in the making of strategies for a sustainable development. Such strategies typically involve three major technological changes: energy savings on the demand side, efficiency improvements in the energy production, and replacement of fossil fuels by various sources of renewable energy."

 Please read this article and summarize it for me - "Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making" and then find 5 similar studies and please also summarize each for me.

 You can also leverage ChatGPT 3.5 to convert your search results into a review matrix. Begin by searching an academic database and saving the outcomes in a plain text file. Next, extract only the needed information such as titles, authors, and abstracts, and incorporate them into your input prompt. Given ChatGPT's token limit for input, roughly about 1000 words, focus on extracting the necessary details. Should the file size be too large, consider splitting the task into several conversions and subsequently combining them.

 We live in fascinating and/or potentially frightening times. As technologies once considered futuristic start becoming commonplace, they could radically reshape our lives, as well as bring up new ethical concerns. But how does this affect you as a student?

 Artificial Intelligence has become much-talked-about in recent years because of the invention of Generative AI, such as the Large Language Model used by ChatGPT. Generative AI tools are able (or at least attempt) to understand and generate human language. They do this by analysing enormous banks of data. ChatGPT’s model was trained on billions of webpages, including Wikipedia and Reddit. They identify patterns, and then apply those patterns in response to a prompt. This makes them very powerful and easy to use, which makes it all the more important for you as a responsible student to learn how to use them carefully, if you choose to use them.

 AI tools are not all-knowing arbiters of truth. In fact they are often known to ‘hallucinate’, which is when AI generates false information because it has misinterpreted data and seen a pattern that does not exist in reality.

 AI tools do not have access to materials behind paywalls, which includes most academic journals. This means that any research they conduct will not be complete or academically rigorous. For example, if you ask an AI about a topic, it might base its answer on opinion pieces in newspapers but not journal articles written by academic experts on the topic.

 AI tools may not know about recent events or research. They do not sweep the internet everyday, their outputs are based on data which could be from years ago. For example, at the time of writing, ChatGPT has limited knowledge about what’s happened in the world since 2021.

 For all these reasons, you need to be careful when using AI – you still need to use the critical thinking abilities of your human brain! To help you navigate Artificial Intelligence, here are some do’s and don'ts:

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