A semi-supervised learning-based framework for quantifying litter fluxes in river systems.
- DOI
- 10.1016/j.watres.2025.124833
- Published
- 2026 Jan 15
- Container
- Water research
- 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.watres.2025.124833,
title = {A semi-supervised learning-based framework for quantifying litter fluxes in river systems.},
author = {Jia T and Taormina R and de Vries R and Kapelan Z and van Emmerik THM and Vriend P and Okkerman I},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2025.124833},
url = {https://doi.org/10.1016/j.watres.2025.124833}
}RIS
TY - JOUR TI - A semi-supervised learning-based framework for quantifying litter fluxes in river systems. AU - Jia T AU - Taormina R AU - de Vries R AU - Kapelan Z AU - van Emmerik THM AU - Vriend P AU - Okkerman I PY - 2026 JO - Water research DO - 10.1016/j.watres.2025.124833 UR - https://doi.org/10.1016/j.watres.2025.124833 ER -
APA
T, J., R, T., R, D. V., Z, K., THM, V. E., P, V., & I, O. (2026). A semi-supervised learning-based framework for quantifying litter fluxes in river systems.. Water research. https://doi.org/10.1016/j.watres.2025.124833
Source records
- pubmed · retrieved 2026-09-27T07:04:15.168Z