Predicting specific modulus of tibia from mixed modelled dataset using artificial neural network

Jamie Scanlan, Francis Li, Olga Umnova

Open source

DOI: 10.1038/s44384-026-00058-5
Published: 2026-09-02
Container: npj Acoustics
Publisher: Springer Science and Business Media LLC
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:10.1038/s44384-026-00058-5,
  title = {Predicting specific modulus of tibia from mixed modelled dataset using artificial neural network},
  author = {Jamie Scanlan and Francis Li and Olga Umnova},
  year = {2026},
  journal = {npj Acoustics},
  doi = {10.1038/s44384-026-00058-5},
  url = {https://doi.org/10.1038/s44384-026-00058-5}
}

RIS

TY  - JOUR
TI  - Predicting specific modulus of tibia from mixed modelled dataset using artificial neural network
AU  - Jamie Scanlan
AU  - Francis Li
AU  - Olga Umnova
PY  - 2026
JO  - npj Acoustics
DO  - 10.1038/s44384-026-00058-5
UR  - https://doi.org/10.1038/s44384-026-00058-5
ER  -

APA

Scanlan, J., Li, F., & Umnova, O. (2026). Predicting specific modulus of tibia from mixed modelled dataset using artificial neural network. npj Acoustics. https://doi.org/10.1038/s44384-026-00058-5

Source records

crossref · retrieved 2026-11-10T14:15:57.313Z