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Elicit Discussions: Extraction and Screening at Scale

Questions, Reviews & Tips for Elicit.org

Research & Knowledge Work
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Elicit is built for the mechanical parts of a literature review, and the discussion here is mostly from people doing that work seriously rather than casually.

Extraction into structured tables is the feature that changes the workflow most. Pulling sample sizes, methods, populations and outcomes across many papers into something comparable saves substantial time, and members are specific about which fields extract reliably and which need checking every row.

Screening at scale gets practical attention for systematic review work, including how it fits alongside established methodology rather than replacing it. Members working to formal review standards have useful things to say about what is defensible.

Feature threads cover report generation, uploading your own document set rather than searching the indexed corpus, and the workflow support aimed specifically at formal systematic review. Plan tiers and per-task credit costs matter for anyone running a large screening exercise, and members who have costed a full review are the most useful voices here.

Accuracy checking is the recurring theme. Extraction errors are quiet, so members share verification sampling strategies. Coverage limits are worth understanding for any field with substantial non-indexed literature. For the WhatAI editorial assessment, see the Elicit.org tool page, or Research & Knowledge Work.

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Elicit is the research tool I wish I had at the start of my degree

I am in the second year of a PhD in environmental science. Literature reviews are a massive part of the work and finding, reading and extracting useful information from dozens of papers is genuinely o...

By cynthia.campb Apr 11, 2026 Research and Education ✓ Reviewed for community standards
❤ 0 👁 6 💬 4 🚩 Report

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