Data and code
Data and code for the systematic review and meta-analysis “Systematic Review and Meta-analysis of Large Language Model Accuracy on Dental Examination Questions” (Karadag, Güçlü & Tezel). Data S1: extracted dataset (615 model evaluations from 142 studies) with moderator codes, coding guide and change log. Data S2: all risk-of-bias assessments (JBI checklist; independent, third-reviewer and consensus judgments). Data S3: Python (primary) and R (check) analysis scripts with README. Protocol: https://doi.org/10.17605/OSF.IO/CNMQ3. Data: CC BY 4.0; code: MIT.
Authors
- Ilkim Karadag (ORCID: https://orcid.org/0000-0002-5180-3693)
Publication Details
- Journal
- Open Science Framework
- Published
- 2026-10-30
- DOI
- https://doi.org/10.17605/osf.io/93s4b
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00