Open Science AI Tools for Systematic, Protocol-Based Literature Reviews.

Purpose

prismAId uses generative AI models to extract data from scientific literature. It offers simple-to-use, efficient, and replicable methods for analyzing literature when conducting systematic reviews. No coding skills are required to use prismAId.

Specifications

• Review protocol: Designed to support any literature review protocol with a preference for Prisma 2020, which inspired our project name.
• Compatibility: Compatible with Windows, MacOS, and Linux operating systems on AMD64 and ARM64 platforms.
• Supported LLMs:
  1. OpenAI: GPT-3.5 Turbo, GPT-4 Turbo, GPT-4o, and GPT-4o Mini.
  2. GoogleAI: Gemini 1.0 Pro, Gemini 1.5 Pro, and Gemini 1.5 Flash.
• Output format: Outputs data in CSV or JSON formats.
• Performance: Designed to process extensive datasets efficiently with minimal user setup and no coding required.
• Programming Language: Developed in Go.

Table of Contents

Visit this documentation website to find:

1. Instructions to install prismAId and start using it: Getting Started.
2. A walkthrough of the process of setting up your systematic literature review project: Project Setup.
3. A detailed guide on designing robust prompts to exploit generative AI models for information extraction from the literature: Prompt Design.
4. A presentation of the most advanced features provided by the tool: Advanced Features.
5. Troubleshooting directions and frequently asked questions on prismAId and generative AI features and results: FAQs and Troubleshooting.
6. A description of the software implementation of prismAId along with guidelines on how to contribute to its future development: For Developers.

Credits

Authors

Riccardo Boero - ribo@nilu.no

Acknowledgments

This project was initiated with the generous support of a SIS internal project from NILU. Their support was crucial in starting this research and development effort. Further, acknowledgment is due for the research credits received from the OpenAI Researcher Access Program and the Cohere For AI Research Grant Program, both of which have significantly contributed to the advancement of this work.

License

GNU AFFERO GENERAL PUBLIC LICENSE, Version 3

Citation

Boero, R. (2024). prismAId - Open Science AI Tools for Systematic, Protocol-Based Literature Reviews. Zenodo. https://doi.org/10.5281/zenodo.11210796