Data and code for: Quality, Factual Accuracy, Readability and Reproducibility of ChatGPT Responses in Paediatric Neurology: A Repeated Cross-Sectional Evaluation
- DOI
- 10.5281/zenodo.23649439
- Published
- 2026
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- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.23649439,
title = {Data and code for: Quality, Factual Accuracy, Readability and Reproducibility of ChatGPT Responses in Paediatric Neurology: A Repeated Cross-Sectional Evaluation},
author = {Didinmez Taşkırdı, Elif and Baykan, Müge and Gençpınar, Pınar and Olgaç Dündar, Nihal},
year = {2026},
doi = {10.5281/zenodo.23649439},
url = {https://doi.org/10.5281/zenodo.23649439}
}RIS
TY - JOUR TI - Data and code for: Quality, Factual Accuracy, Readability and Reproducibility of ChatGPT Responses in Paediatric Neurology: A Repeated Cross-Sectional Evaluation AU - Didinmez Taşkırdı, Elif AU - Baykan, Müge AU - Gençpınar, Pınar AU - Olgaç Dündar, Nihal PY - 2026 DO - 10.5281/zenodo.23649439 UR - https://doi.org/10.5281/zenodo.23649439 ER -
APA
Elif, D. T., Müge, B., Pınar, G., & Nihal, O. D. (2026). Data and code for: Quality, Factual Accuracy, Readability and Reproducibility of ChatGPT Responses in Paediatric Neurology: A Repeated Cross-Sectional Evaluation. https://doi.org/10.5281/zenodo.23649439