Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.
- DOI
- 10.1371/journal.pone.0308375
- Published
- 2024
- Container
- PloS one
- 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:10.1371/journal.pone.0308375,
title = {Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.},
author = {Fichtner UA and Knaus J and Graf E and Koch G and Sahlmann J and Stelzer D and Wolkewitz M and Binder H and Weber S},
year = {2024},
journal = {PloS one},
doi = {10.1371/journal.pone.0308375},
url = {https://doi.org/10.1371/journal.pone.0308375}
}RIS
TY - JOUR TI - Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol. AU - Fichtner UA AU - Knaus J AU - Graf E AU - Koch G AU - Sahlmann J AU - Stelzer D AU - Wolkewitz M AU - Binder H AU - Weber S PY - 2024 JO - PloS one DO - 10.1371/journal.pone.0308375 UR - https://doi.org/10.1371/journal.pone.0308375 ER -
APA
UA, F., J, K., E, G., G, K., J, S., D, S., M, W., H, B., & S, W. (2024). Exploring the potential of large language models for integration into an academic statistical consulting service-the EXPOLS study protocol.. PloS one. https://doi.org/10.1371/journal.pone.0308375
Source records
- pubmed · retrieved 2026-09-24T21:25:00.183Z