💁 AI Paper recommendation
Understand our AI assisted snow-bowling search
Stop worrying about missing highly relevant clinical papers not included in your search results, our AI paper recommendation is here to support you.
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Working principles
We have designed this feature to rely on a search-specific AI model, which continuously analyzes your included papers and their citations (forward search and backward search). From these citations, it generates a list of papers not originally found in your search but identified as highly relevant by the screening Co-Pilot. This combination of two predictive AI models creates a fully automated snowballing search system.
You can request five recommendations at a time, anytime. All papers in the list can be evaluated and appraised if needed. Simply include the most important ones from this recommendation list, ignore the rest, and complete your search with confidence.
To keep in mind: The recommendation is based on a list of cited papers from your search results. It can happen that, after requesting recommendations, you have been through the entire list and Flinn has no new recommendation.
Traceability
The recommendation list is persistent and cannot be deleted, even if you change your query. This ensures full traceability of which papers have been recommended and when. Additionally, all evaluated papers from this list will be documented in any Excel and RIS exports you generate.
To keep in mind: Only the evaluated papers from the recommendation list (excluded, included or possibly included) will be documented in the Excel or RIS export.