Enhancing the assessment of PBDE dehalogenation rates using an artificial neural network-integrated anaerobic dehalogenation model.

Yildirim B, Demirtepe H

DOI: 10.1039/d6em00487c
Published: 2026 Nov 10
Container: Environmental science. Processes & impacts
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1039/d6em00487c,
  title = {Enhancing the assessment of PBDE dehalogenation rates using an artificial neural network-integrated anaerobic dehalogenation model.},
  author = {Yildirim B and Demirtepe H},
  year = {2026},
  journal = {Environmental science. Processes \& impacts},
  doi = {10.1039/d6em00487c},
  url = {https://doi.org/10.1039/d6em00487c}
}

RIS

TY  - JOUR
TI  - Enhancing the assessment of PBDE dehalogenation rates using an artificial neural network-integrated anaerobic dehalogenation model.
AU  - Yildirim B
AU  - Demirtepe H
PY  - 2026
JO  - Environmental science. Processes & impacts
DO  - 10.1039/d6em00487c
UR  - https://doi.org/10.1039/d6em00487c
ER  -

APA

B, Y., & H, D. (2026). Enhancing the assessment of PBDE dehalogenation rates using an artificial neural network-integrated anaerobic dehalogenation model.. Environmental science. Processes & impacts. https://doi.org/10.1039/d6em00487c

Source records

pubmed · retrieved 2026-11-10T19:03:39.128Z