Response to: 'On the search sensitivity of a meta-analysis of AI-generated MCQs'.
- DOI
- 10.1080/0142159x.2026.2716263
- Published
- 2026 Aug 25
- Container
- Medical teacher
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1080/0142159x.2026.2716263,
title = {Response to: 'On the search sensitivity of a meta-analysis of AI-generated MCQs'.},
author = {Alani NHS and Amaranathan J and Dandoush A and Rye S and King PT and Chin MH},
year = {2026},
journal = {Medical teacher},
doi = {10.1080/0142159x.2026.2716263},
url = {https://doi.org/10.1080/0142159x.2026.2716263}
}RIS
TY - JOUR TI - Response to: 'On the search sensitivity of a meta-analysis of AI-generated MCQs'. AU - Alani NHS AU - Amaranathan J AU - Dandoush A AU - Rye S AU - King PT AU - Chin MH PY - 2026 JO - Medical teacher DO - 10.1080/0142159x.2026.2716263 UR - https://doi.org/10.1080/0142159x.2026.2716263 ER -
APA
NHS, A., J, A., A, D., S, R., PT, K., & MH, C. (2026). Response to: 'On the search sensitivity of a meta-analysis of AI-generated MCQs'.. Medical teacher. https://doi.org/10.1080/0142159x.2026.2716263
Source records
- pubmed · retrieved 2026-09-26T15:45:02.508Z