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Gen AI Literature Review Tools at MIT

Using AI tools for Literature Reviews

Consensus AI

Consensus is an AI that has a number of key features, including typefied search types (lit reviews, etc). It sources it data from Semantic Scholar. It includes a consensus meter, that will summarise the various articles and provide yes/no answers with statistics.

Main front end search interface, with simple search field and recent searches.

Search results, with options to get a citation for each. The abstract conveniently shows how many times the article has been cited, and also
what sort of article it is (Lit review, observational study, etc).

The consensus meter is a great tool to sumarise whether a body of work supports or rejects your hypothesis!
In this case, asking the question "does caffeine prevent dementia?" he consensus meter reported that out of 17 papers, 12% said yes, 6% said no
and 82% said maybe!
 

Owner/creator

 Consensus
Link  https://consensus.app

Cost

 Fremium - more functions with paid access

Databases

 Semantic Scholar

Database size

 200 million

Discipline focus

 Multi-disciplinary

Full text

 Full text and abstracts

Zotero connectivity

 Yes

Search parameters

 Keyword, filter by year,

Special features

  • The AI consensus meter – shows how many papers support or reject your question/theory shows
    a broad range of whether papers will say yes or no to a question.
  • Works best in social policy and medical disciplinary areas
  • Highlights papers with systematic reviews and high citations counts
  • Can limit results by year range
  • Extracts the key takeaway from the papers searches

 

More Information
Consensus AI: Can it Really Make Research Easier? We put it to the Test.

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