A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications.
- DOI
- 10.3389/fdata.2026.1897881
- Published
- 2026
- Container
- Frontiers in big data
- 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:10.3389/fdata.2026.1897881,
title = {A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications.},
author = {P FA and V S},
year = {2026},
journal = {Frontiers in big data},
doi = {10.3389/fdata.2026.1897881},
url = {https://doi.org/10.3389/fdata.2026.1897881}
}RIS
TY - JOUR TI - A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications. AU - P FA AU - V S PY - 2026 JO - Frontiers in big data DO - 10.3389/fdata.2026.1897881 UR - https://doi.org/10.3389/fdata.2026.1897881 ER -
APA
FA, P., & S, V. (2026). A novel three-parameter Gompertz-Lomax Distribution with a physics-informed survival network: statistical theory, hazard shape characterization, and real-world applications.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1897881
Source records
- pubmed · retrieved 2026-09-24T22:15:00.882Z