Machine learning augmented diagnostic testing to identify sources of variability in test performance.

Banks CJ, Sanchez A, Stewart V, Bowen K, Doherty T, Tearne O, Smith G, Kao RR

DOI: 10.1371/journal.pcbi.1013651
Published: 2025 Nov
Container: PLoS computational biology
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.pcbi.1013651,
  title = {Machine learning augmented diagnostic testing to identify sources of variability in test performance.},
  author = {Banks CJ and Sanchez A and Stewart V and Bowen K and Doherty T and Tearne O and Smith G and Kao RR},
  year = {2025},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1013651},
  url = {https://doi.org/10.1371/journal.pcbi.1013651}
}

RIS

TY  - JOUR
TI  - Machine learning augmented diagnostic testing to identify sources of variability in test performance.
AU  - Banks CJ
AU  - Sanchez A
AU  - Stewart V
AU  - Bowen K
AU  - Doherty T
AU  - Tearne O
AU  - Smith G
AU  - Kao RR
PY  - 2025
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1013651
UR  - https://doi.org/10.1371/journal.pcbi.1013651
ER  -

APA

CJ, B., A, S., V, S., K, B., T, D., O, T., G, S., & RR, K. (2025). Machine learning augmented diagnostic testing to identify sources of variability in test performance.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1013651

Source records

pubmed · retrieved 2026-09-25T17:54:08.827Z