Uncertainty-aware machine learning with conformal prediction for gamma-ray attenuation performance in TeO(2)-Na(2)O-BaO-TiO(2) glasses.
- DOI
- 10.1016/j.apradiso.2026.112914
- Published
- 2026 Sep 6
- Container
- Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
- 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:10.1016/j.apradiso.2026.112914,
title = {Uncertainty-aware machine learning with conformal prediction for gamma-ray attenuation performance in TeO(2)-Na(2)O-BaO-TiO(2) glasses.},
author = {Baskin MU and Alzahrani JS and Al-Buriahi MS},
year = {2026},
journal = {Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine},
doi = {10.1016/j.apradiso.2026.112914},
url = {https://doi.org/10.1016/j.apradiso.2026.112914}
}RIS
TY - JOUR TI - Uncertainty-aware machine learning with conformal prediction for gamma-ray attenuation performance in TeO(2)-Na(2)O-BaO-TiO(2) glasses. AU - Baskin MU AU - Alzahrani JS AU - Al-Buriahi MS PY - 2026 JO - Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine DO - 10.1016/j.apradiso.2026.112914 UR - https://doi.org/10.1016/j.apradiso.2026.112914 ER -
APA
MU, B., JS, A., & MS, A. (2026). Uncertainty-aware machine learning with conformal prediction for gamma-ray attenuation performance in TeO(2)-Na(2)O-BaO-TiO(2) glasses.. Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine. https://doi.org/10.1016/j.apradiso.2026.112914
Source records
- pubmed · retrieved 2026-09-25T17:24:51.184Z