Model Card for Model ID
WISEST (WhIch Systematic Evidence Synthesis is besT) is an innovative tool designed to streamline the quality assessment of systematic reviews (SRs) using automated deep neural information retrieval techniques. Developed collaboratively by information retrieval specialists and health knowledge synthesis experts, WISEST addresses information overload by automating responses to the widely used ROBIS and AMSTAR-2 frameworks, enhancing the consistency and efficiency of SR evaluation. The user-friendly interface, refined through feedback from active SR practitioners, ensures accessibility for both technical and non-technical users. WISEST’s open-source code base promotes transparency and adaptability, empowering researchers and healthcare professionals to make more reliable, evidence-based decisions with reduced effort and improved accuracy.
You can find data used for fine-tuning at
https://wisest-data.ls3.rnet.torontomu.caYou can find the annotation studio developed for the model at
https://github.com/radinhamidi/WISEST-Annotation-PlatformYou can find the pipeline implemented for data cleaning and preparation at
https://github.com/radinhamidi/WISEST-DataModel Details
Model Description
- Developed by: Naser Al-Obeidat, Radin Hamidi Rad
- Funded by [optional]: Laboratory for Systems, Software and Semantics: https://ls3.rnet.torontomu.ca
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- Language(s) (NLP): English
- License: CC-BY-NC 4.0
- Finetuned from model [optional]: Llama-3.1-8B
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- Demo [optional]: https://wisest.ls3.rnet.torontomu.ca
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How to Get Started with the Model
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Training Details
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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