Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device.
- DOI
- 10.3390/s26134294
- Published
- 2026 Jul 6
- Container
- Sensors (Basel, Switzerland)
- 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:10.3390/s26134294,
title = {Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device.},
author = {Kirk C and Kuederle A and Tasca P and Bicer M and Megaritis D and Gazit E and Bonci T and Ionescu A and Hinchliffe C and Stihi A and Muecke A and Babar Z and Vogiatzis I and Eskofier B and Mazzà C and Cereatti A and Mueller A and Rooks D and Caulfield B and Rochester L and Del Din S},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26134294},
url = {https://doi.org/10.3390/s26134294}
}RIS
TY - JOUR TI - Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device. AU - Kirk C AU - Kuederle A AU - Tasca P AU - Bicer M AU - Megaritis D AU - Gazit E AU - Bonci T AU - Ionescu A AU - Hinchliffe C AU - Stihi A AU - Muecke A AU - Babar Z AU - Vogiatzis I AU - Eskofier B AU - Mazzà C AU - Cereatti A AU - Mueller A AU - Rooks D AU - Caulfield B AU - Rochester L AU - Del Din S PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26134294 UR - https://doi.org/10.3390/s26134294 ER -
APA
C, K., A, K., P, T., M, B., D, M., E, G., T, B., A, I., C, H., A, S., A, M., Z, B., I, V., B, E., C, M., A, C., A, M., D, R., B, C., L, R., & S, D. D. (2026). Mobgap: A State-of-the-Art Python Framework for Reproducible Estimation and Algorithm Validation of Digital Mobility Outcomes from a Single Wearable Device.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26134294
Source records
- pubmed · retrieved 2026-09-24T22:49:58.148Z