Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models
- DOI
- 10.1111/jfr3.70051
- Published
- 2025-05-08
- Container
- Journal of Flood Risk Management
- Publisher
- Wiley
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1111/jfr3.70051,
title = {Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models},
author = {Baljeet Kaur and Andrew Binns and Edward McBean and Dan Sandink and Karen Castro and Bahram Gharabaghi},
year = {2025},
journal = {Journal of Flood Risk Management},
doi = {10.1111/jfr3.70051},
url = {https://doi.org/10.1111/jfr3.70051}
}RIS
TY - JOUR TI - Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models AU - Baljeet Kaur AU - Andrew Binns AU - Edward McBean AU - Dan Sandink AU - Karen Castro AU - Bahram Gharabaghi PY - 2025 JO - Journal of Flood Risk Management DO - 10.1111/jfr3.70051 UR - https://doi.org/10.1111/jfr3.70051 ER -
APA
Kaur, B., Binns, A., McBean, E., Sandink, D., Castro, K., & Gharabaghi, B. (2025). Urban Flood Susceptibility Mapping for Toronto, Canada, Using Supervised Regression and Machine Learning Models. Journal of Flood Risk Management. https://doi.org/10.1111/jfr3.70051
Source records
- crossref · retrieved 2026-09-25T14:30:36.012Z