Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model.

Dietrich N, McShannon D, Rzepka MF

DOI: 10.1371/journal.pdig.0001179
Published: 2026 Jan
Container: PLOS digital health
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1371/journal.pdig.0001179,
  title = {Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model.},
  author = {Dietrich N and McShannon D and Rzepka MF},
  year = {2026},
  journal = {PLOS digital health},
  doi = {10.1371/journal.pdig.0001179},
  url = {https://doi.org/10.1371/journal.pdig.0001179}
}

RIS

TY  - JOUR
TI  - Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model.
AU  - Dietrich N
AU  - McShannon D
AU  - Rzepka MF
PY  - 2026
JO  - PLOS digital health
DO  - 10.1371/journal.pdig.0001179
UR  - https://doi.org/10.1371/journal.pdig.0001179
ER  -

APA

N, D., D, M., & MF, R. (2026). Evaluating few-shot prompting for spectrogram-based lung sound classification using a multimodal language model.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0001179

Source records

pubmed · retrieved 2026-11-10T08:58:06.718Z