Enhancing reproducibility of machine learning‐based studies in clinical journals through model cards

Jonathan Dan, Nick Seeuws

Open source

DOI: 10.1111/dmcn.15785
Published: 2023-10-31
Container: Developmental Medicine & Child Neurology
Publisher: Wiley
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. 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
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1111/dmcn.15785,
  title = {Enhancing reproducibility of machine learning‐based studies in clinical journals through model cards},
  author = {Jonathan Dan and Nick Seeuws},
  year = {2023},
  journal = {Developmental Medicine \&amp; Child Neurology},
  doi = {10.1111/dmcn.15785},
  url = {https://doi.org/10.1111/dmcn.15785}
}

RIS

TY  - JOUR
TI  - Enhancing reproducibility of machine learning‐based studies in clinical journals through model cards
AU  - Jonathan Dan
AU  - Nick Seeuws
PY  - 2023
JO  - Developmental Medicine &amp; Child Neurology
DO  - 10.1111/dmcn.15785
UR  - https://doi.org/10.1111/dmcn.15785
ER  -

APA

Dan, J., & Seeuws, N. (2023). Enhancing reproducibility of machine learning‐based studies in clinical journals through model cards. Developmental Medicine & Child Neurology. https://doi.org/10.1111/dmcn.15785

Source records

crossref · retrieved 2026-09-25T16:20:39.893Z