Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study
- DOI
- 10.2196/97408
- Published
- 2026-11-05
- Container
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.2196/97408,
title = {Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study},
author = {Mário César Bulla and Daniel Lavinsky and Alexandre Antonio Marques Rosa and Pedro Carlos Carricondo},
year = {2026},
journal = {JMIR Formative Research},
doi = {10.2196/97408},
url = {https://doi.org/10.2196/97408}
}RIS
TY - JOUR TI - Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study AU - Mário César Bulla AU - Daniel Lavinsky AU - Alexandre Antonio Marques Rosa AU - Pedro Carlos Carricondo PY - 2026 JO - JMIR Formative Research DO - 10.2196/97408 UR - https://doi.org/10.2196/97408 ER -
APA
Bulla, M. C., Lavinsky, D., Rosa, A. A. M., & Carricondo, P. C. (2026). Prompting Strategies for Readability Alignment Between User-Generated Ophthalmology Questions and Large Language Model Answers: Comparative Evaluation Study. JMIR Formative Research. https://doi.org/10.2196/97408
Source records
- crossref · retrieved 2026-11-07T14:47:32.578Z