Elicit

Elicit

AI Research Assistant
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About

Elicit is an AI-powered research assistant designed to streamline and enhance the process of conducting systematic literature reviews and meta-analyses by leveraging advanced language models. It helps researchers find, screen, and extract data from academic papers efficiently.

More info

  • Free Trial
  • Free Version
  • Email/Help Desk
  • Knowledge Base

Pricing

  • Basic - $0/Month
  • Plus - $10/Month
  • Enterprise - Custom Quote

Best Features

Paper Finding

Screening Papers

Data Extraction

High Accuracy Mode

Credits System

Who is Elicit for?

Target Audience: Elicit primarily targets researchers, academics, and professionals involved in systematic reviews, literature reviews, and meta-analyses. This includes individuals and research teams in fields such as biomedicine, machine learning, and other empirical domains where experiments and concrete results are prevalent.

What are the key features of Elicit?

  1. Paper Finding: Search across 125 million academic papers using natural language queries to find relevant literature.
  2. Screening Papers: Automatically screen papers for inclusion based on predefined or custom criteria.
  3. Data Extraction: Extract specific data points from papers, including table details, and save results for later use.
  4. Summarization: Generate quick summaries or combine multiple papers into comprehensive overviews.
  5. Credits System: A credit system is used to access various functionalities, with different plans offering varying credit amounts.
  6. High Accuracy Mode: This mode provides a higher accuracy option for data extraction tasks, which is essential for rigorous reviews.

How do you use Elicit?

User Experience: The user interface is designed to be intuitive, with functionalities like drag-and-drop PDF uploads, easy navigation through search results, and the ability to create custom extraction fields. Users can ask specific questions about papers and view source quotes for detailed insights.

Usage Tips:

  • Experiment with Screening Columns: Define and refine screening columns to improve the inclusion criteria.
  • Use High Accuracy Mode: Utilize this mode for critical data extraction to ensure precision.
  • Combine Papers in Notebooks: Leverage the Notebooks feature to analyze and synthesize information from multiple papers in one place.

What are the pros and cons of Elicit?

Pros:

  • Efficiency: Significantly reduces the time and cost associated with literature reviews and data extraction.
  • Comprehensive Search: Access to a vast database of academic papers.
  • Accuracy: High accuracy in identifying relevant papers and extracting data.
  • User-Friendly: Intuitive interface and easy navigation.

Cons:

  • Credit System: The reliance on a credit system may limit access for some users, particularly in the free tier.
  • Niche Fit: Less effective for non-empirical domains or questions not covered in academic literature.

How do I install and set up Elicit?

Installation Guide: Elicit is a web-based platform, so there is no need for traditional installation. Users can sign up on the website to create an account and use the tool immediately.

Setup Instructions:

  1. Sign Up: Visit the Elicit website and sign up for a free account.
  2. Choose a Plan: Select a plan that fits your needs (Basic, Plus, or Enterprise).
  3. Upload Papers: Start by uploading your papers or searching for new ones.
  4. Define Criteria: Set up your screening and extraction criteria.

How can I get support for Elicit?

Support Methods:

  • Help Center: Access a comprehensive help center on the Elicit website for guides and FAQs.
  • Customer Support: Priority customer support is available for Plus and Enterprise users.
  • Contact: Reach out via email for specific inquiries.

Summary

Elicit is a powerful AI research assistant designed to streamline systematic literature reviews and data extraction processes. It offers significant time and cost savings, high accuracy, and an intuitive user interface, making it an invaluable tool for researchers and academics. However, its effectiveness is somewhat limited by its credit system and niche fit for empirical research domains.

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