rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Scite_
  title info:
    title: AI for research
    sub title: Scite
  type of resource: text
  genre: web site
  origin info:
    place:
      place term: nvu
    date issued: 2023
    date issued: 9999
    issuance: continuing
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Scite is an AI-powered research tool that helps researchers better discover and evaluate scientific literature through Smart Citations—a revolutionary system that shows whether articles support, contrast, or simply mention a given claim. Founded in 2018, and now part of Research Solutions, Scite has indexed over 1.3 billion citations and partnered with more than 30 major publishers to provide researchers with unparalleled access to scientific literature. With its Scite Assistant, Smart Citation Index, and advanced search capabilities, the platform addresses critical challenges such as information overload and research reproducibility. Trusted by two million active users worldwide, Scite is reshaping how researchers interact with scholarly content—building ethical, transparent AI tools that support rigorous, copyright-compliant research"
  abstract: Scite was founded by Josh Nicholson and Yuri Lazebnik and previously funded by the National Science Foundation (NSF) and National Institute on Drug Abuse (NIDA). The Scite database contains over 800 million citation statements tagged by a machine learning algorithm as supporting, mentioning, or contrasting the findings of cited articles and by their locations in the citing articles (introduction, results, methods, discussion, or other). Scite also provides a count of editorial notices for each article. Users can search the website and install plug-ins for browsers Chrome and Firefox and reference management tools such as Zotero. Additional tools include reports and dashboards, badges, and automated reference checks. Scite can be used by researchers to locate evidence and evaluate references; librarians to enhance research impact projects; publishers and editors to check reference lists of submissions and journals, publishers, and databases to create context and showcase impact. -- National Library of Medicine site.
  subject:
    topic: Bibliographical citations
    topic: Computer network resources
  subject:
    topic: Research
    topic: Sources
    topic: Computer network resources
  subject:
    topic: Intelligent agents (Computer software)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Agents intelligents (Logiciels)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Intelligent agents (Computer software)
  classification: Q179.97
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TJC
    record creation date: 230804
    record change date: 20260325144027.4
    record identifier: in00005695369
    language of cataloging:
      language term: eng