Hybrid machine learning approaches outperform mechanistic models of bloom timing in Eastern Redbud, Cercis canadensis.
- DOI
- 10.1007/s00484-026-03197-2
- Published
- 2026 May 7
- Container
- International journal of biometeorology
- 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:10.1007/s00484-026-03197-2,
title = {Hybrid machine learning approaches outperform mechanistic models of bloom timing in Eastern Redbud, Cercis canadensis.},
author = {Mohammad T and Guralnick RP and Santiago-Blay JA and Crimmins TM},
year = {2026},
journal = {International journal of biometeorology},
doi = {10.1007/s00484-026-03197-2},
url = {https://doi.org/10.1007/s00484-026-03197-2}
}RIS
TY - JOUR TI - Hybrid machine learning approaches outperform mechanistic models of bloom timing in Eastern Redbud, Cercis canadensis. AU - Mohammad T AU - Guralnick RP AU - Santiago-Blay JA AU - Crimmins TM PY - 2026 JO - International journal of biometeorology DO - 10.1007/s00484-026-03197-2 UR - https://doi.org/10.1007/s00484-026-03197-2 ER -
APA
T, M., RP, G., JA, S., & TM, C. (2026). Hybrid machine learning approaches outperform mechanistic models of bloom timing in Eastern Redbud, Cercis canadensis.. International journal of biometeorology. https://doi.org/10.1007/s00484-026-03197-2
Source records
- pubmed · retrieved 2026-09-27T10:03:06.814Z