#  prismAId
# Open Science AI Tools for Systematic, Protocol-Based Literature Reviews
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.
---
[](https://github.com/Open-and-Sustainable/prismAId/releases)
[](https://go.dev/)
[](https://www.gnu.org/licenses/agpl-3.0.en.html#license-text)
[](https://doi.org/10.5281/zenodo.11210796)
---
## Specifications
- **Review protocol**: Designed to support any literature review protocol with a preference for [Prisma 2020](https://www.prisma-statement.org/prisma-2020), which inspired our project name.
- **Distribution**: Go [package](https://pkg.go.dev/github.com/open-and-sustainable/prismaid), Python [package](https://pypi.org/project/prismaid/), and 'no-coding' [binaries](https://github.com/open-and-sustainable/prismaid/releases) 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.
3. **Cohere**: Command, Command Light, Command R, and Command R+.
4. **Anthropic**: Claude 3 Sonnet, Claude 3 Opus, Claude 3 Haiku, Claude 3.5 Sonnet
- **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.
---
## Documentation
All the information to install, use, and improve prismAId can be found at [open-and-sustainable.github.io/prismAId](https://open-and-sustainable.github.io/prismAId/).
---
## Credits
### Authors
Riccardo Boero - ribo@nilu.no
### Acknowledgments
This project was initiated with the generous support of a SIS internal project from [NILU](https://nilu.com). 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](https://grants.openai.com/prog/openai_researcher_access_program/) and the [Cohere For AI Research Grant Program](https://share.hsforms.com/1aF5ZiZDYQqCOd8JSzhUBJQch5vw?ref=txt.cohere.com), both of which have significantly contributed to the advancement of this work.
---
## License
GNU AFFERO GENERAL PUBLIC LICENSE, Version 3
[](https://www.gnu.org/licenses/agpl-3.0.en.html#license-text)
---
## Contributing
Contributions are welcome! Please follow guidelines at [open-and-sustainable.github.io/prismAId/for-developers.html](https://open-and-sustainable.github.io/prismAId/for-developers.html).
---
## Citation
Boero, R. (2024). prismAId - Open Science AI Tools for Systematic, Protocol-Based Literature Reviews. Zenodo. [DOI: 10.5281/zenodo.11210796](https://doi.org/10.5281/zenodo.11210796)
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