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Scite and Consensus

 

The VIVA (Virtual Library of Virginia) AI in Collections Working Group proposed exploring research-focused AI tools as potential additions to VIVA's shared resources. The Collections Committee recommended conducting consortium-wide trials of two products: Consensus and Scite.

Trial Dates:  November 12, 2025 - February 12, 2026

Scite & Consensus Trial Survey

Please help us decide whether we are interested in getting one of these products for our library by filling out the survey, below:

VIVA Survey: Consensus and Scite

Privacy & Security

Scite and Consensus have gone through IT review at JMU. Scite has already been adopted at William and Mary, and UVA has Consensus. Below you will find additional information on privacy and security in these resources.

Consensus

Consensus

  • Product URL: https://consensus.app/
  • Product Description: Consensus is an AI-powered academic search engine. It summarizes insights from the literature (with citations), ranks the top 20 papers for a search, and offers snapshots of individual studies. If a user enters a yes/no question, Consensus tags individual articles with yes, no, mixed, and possibly, and provides a Consensus Meter that visualizes the balance of supporting and contrasting evidence.
     

Trial Access Instructions: Click the link provided above and sign up for an account using your institutional email.

  • A code will be sent to your email address. Once you confirm, you will have an account connected to the trial.
  • To confirm that this worked, look at your account name in the bottom left corner of the Consensus Web Application. You should see a special icon next to your name indicating full access to the paid product. 
     

For more information about using Consensus, refer to the links below:

UVA library webpage on ConsensusIncludes an overview and video intro to Consensus, from a VIVA member library with existing access.

Scite

Scite 

  • Product URL: https://scite.ai/
  • Product Description: Scite is an AI-powered research tool for discovering and evaluating scholarly articles. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim. Scite Assistant generates a summary of the scholarly literature on a topic, with cited references. Scite is also useful for impact analysis.
     

Trial Access Instructions:

  • On a campus network (wifi, VPN, etc.)
    • If you're on the campus network (wifi, VPN, etc.) at a participating institution, you will be able to access Scite without any registration.
    • You should be able to access 100% of functionality without any registration. In addition, LibKey and LinkResolvers should be also activated, so please check if you can see behind the paywall content from the subscriptions you have at the moment.

  • Off Campus: If you're off the campus network/travelling, you may create a profile on the Scite platform. The steps are:
  • Visit https://scite.ai
  • Click Sign Up (top right) 
  • Register using your institutional email address. A confirmation email will be sent -- open that and click "verify email". You will now be able to log in to Scite.
  • The system will recognize your email as part of the VIVA trial, and you’ll be automatically be added to the trial license.
  • For any questions, please email customersupport@researchsolutions.com-- there are US and Canadian Support Team colleagues responding within 24 hours. 
     

For more information about using Scite, refer to the links below:

W&M Library webpage on Scite:  An overview & video intro to Scite, from a VIVA member library with existing access to the product

Scite Walkthroughs Playlist (Youtube): Includes videos on searching Scite, using Scite dashboards, exporting Scite tables, and more.