Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization.
- DOI
- 10.1016/j.mlwa.2025.100683
- Published
- 2025 Sep
- Container
- Machine learning with applications
- 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:10.1016/j.mlwa.2025.100683,
title = {Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization.},
author = {Lahiri A and Shukla S and Stear B and Ahooyi TM and Beigel K and Margolskee E and Taylor D},
year = {2025},
journal = {Machine learning with applications},
doi = {10.1016/j.mlwa.2025.100683},
url = {https://doi.org/10.1016/j.mlwa.2025.100683}
}RIS
TY - JOUR TI - Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization. AU - Lahiri A AU - Shukla S AU - Stear B AU - Ahooyi TM AU - Beigel K AU - Margolskee E AU - Taylor D PY - 2025 JO - Machine learning with applications DO - 10.1016/j.mlwa.2025.100683 UR - https://doi.org/10.1016/j.mlwa.2025.100683 ER -
APA
A, L., S, S., B, S., TM, A., K, B., E, M., & D, T. (2025). Benchmarking Transformer Embedding Models for Biomedical Terminology Standardization.. Machine learning with applications. https://doi.org/10.1016/j.mlwa.2025.100683
Source records
- pubmed · retrieved 2026-09-25T17:45:52.398Z