Morphological Correlates of Suppressed Autonomic Modulation: A Machine Learning Approach to Identifying Vagal Impairment Phenotypes in Women.
- DOI
- 10.3390/jfmk11030355
- Published
- 2026 Sep 6
- Container
- Journal of functional morphology and kinesiology
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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/jfmk11030355,
title = {Morphological Correlates of Suppressed Autonomic Modulation: A Machine Learning Approach to Identifying Vagal Impairment Phenotypes in Women.},
author = {Materko W and Chagas GFD and Benchimol-Barbosa PR and Nadal J},
year = {2026},
journal = {Journal of functional morphology and kinesiology},
doi = {10.3390/jfmk11030355},
url = {https://doi.org/10.3390/jfmk11030355}
}RIS
TY - JOUR TI - Morphological Correlates of Suppressed Autonomic Modulation: A Machine Learning Approach to Identifying Vagal Impairment Phenotypes in Women. AU - Materko W AU - Chagas GFD AU - Benchimol-Barbosa PR AU - Nadal J PY - 2026 JO - Journal of functional morphology and kinesiology DO - 10.3390/jfmk11030355 UR - https://doi.org/10.3390/jfmk11030355 ER -
APA
W, M., GFD, C., PR, B., & J, N. (2026). Morphological Correlates of Suppressed Autonomic Modulation: A Machine Learning Approach to Identifying Vagal Impairment Phenotypes in Women.. Journal of functional morphology and kinesiology. https://doi.org/10.3390/jfmk11030355
Source records
- pubmed · retrieved 2026-09-25T05:10:31.429Z