0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessBoth the GPT-4 and fine-tuned Llama 2 AI-LLMs showed promise as tools for assessing reporting guideline compliance. Next steps should include developing an efficient, open-source AI-LLM and exploring methods to improve model accuracy.
James G. Wrightson, Paul Blazey, David Moher, Karim M. Khan, Clare L. Ardern (2025). GPT for RCTs? Using AI to determine adherence to clinical trial reporting guidelines. , 15(3), DOI: https://doi.org/10.1136/bmjopen-2024-088735.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
5
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1136/bmjopen-2024-088735
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
.webp){kind=avatar}
