Cross-sectional comparative evaluation of five large language model-driven chatbots on an expert-curated 44-question set of parent-facing questions about pediatric vitamin D deficiency.
- DOI
- 10.3389/fped.2026.1927624
- Published
- 2026
- Container
- Frontiers in pediatrics
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.3389/fped.2026.1927624,
title = {Cross-sectional comparative evaluation of five large language model-driven chatbots on an expert-curated 44-question set of parent-facing questions about pediatric vitamin D deficiency.},
author = {Shi P and Zhou T and Nie Q and Tao B and Li X and Zhu M},
year = {2026},
journal = {Frontiers in pediatrics},
doi = {10.3389/fped.2026.1927624},
url = {https://doi.org/10.3389/fped.2026.1927624}
}RIS
TY - JOUR TI - Cross-sectional comparative evaluation of five large language model-driven chatbots on an expert-curated 44-question set of parent-facing questions about pediatric vitamin D deficiency. AU - Shi P AU - Zhou T AU - Nie Q AU - Tao B AU - Li X AU - Zhu M PY - 2026 JO - Frontiers in pediatrics DO - 10.3389/fped.2026.1927624 UR - https://doi.org/10.3389/fped.2026.1927624 ER -
APA
P, S., T, Z., Q, N., B, T., X, L., & M, Z. (2026). Cross-sectional comparative evaluation of five large language model-driven chatbots on an expert-curated 44-question set of parent-facing questions about pediatric vitamin D deficiency.. Frontiers in pediatrics. https://doi.org/10.3389/fped.2026.1927624
Source records
- pubmed · retrieved 2026-09-25T01:30:01.979Z