Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.
- DOI
- 10.1016/j.envpol.2026.128215
- Published
- 2026 Jun 15
- Container
- Environmental pollution (Barking, Essex : 1987)
- 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.envpol.2026.128215,
title = {Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.},
author = {Tong Y and Shen Z},
year = {2026},
journal = {Environmental pollution (Barking, Essex : 1987)},
doi = {10.1016/j.envpol.2026.128215},
url = {https://doi.org/10.1016/j.envpol.2026.128215}
}RIS
TY - JOUR TI - Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach. AU - Tong Y AU - Shen Z PY - 2026 JO - Environmental pollution (Barking, Essex : 1987) DO - 10.1016/j.envpol.2026.128215 UR - https://doi.org/10.1016/j.envpol.2026.128215 ER -
APA
Y, T., & Z, S. (2026). Unraveling spatial distribution and associated factors of bisphenol analogues in the Yangtze River Delta: A machine learning approach.. Environmental pollution (Barking, Essex : 1987). https://doi.org/10.1016/j.envpol.2026.128215
Source records
- pubmed · retrieved 2026-09-27T09:09:49.881Z