Using machine learning to advance synthesis and use of conservation and environmental evidence.
- DOI
- 10.1111/cobi.13117
- Published
- 2018-08-01
- Container
- Conserv Biol
- Publisher
- Not recorded
- Open access
- no
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:10.1111/cobi.13117,
title = {Using machine learning to advance synthesis and use of conservation and environmental evidence.},
author = {Cheng SH and Augustin C and Bethel A and Gill D and Anzaroot S and Brun J and DeWilde B and Minnich RC and Garside R and Masuda YJ and Miller DC and Wilkie D and Wongbusarakum S and McKinnon MC.},
year = {2018},
journal = {Conserv Biol},
doi = {10.1111/cobi.13117},
url = {https://doi.org/10.1111/cobi.13117}
}RIS
TY - JOUR TI - Using machine learning to advance synthesis and use of conservation and environmental evidence. AU - Cheng SH AU - Augustin C AU - Bethel A AU - Gill D AU - Anzaroot S AU - Brun J AU - DeWilde B AU - Minnich RC AU - Garside R AU - Masuda YJ AU - Miller DC AU - Wilkie D AU - Wongbusarakum S AU - McKinnon MC. PY - 2018 JO - Conserv Biol DO - 10.1111/cobi.13117 UR - https://doi.org/10.1111/cobi.13117 ER -
APA
SH, C., C, A., A, B., D, G., S, A., J, B., B, D., RC, M., R, G., YJ, M., DC, M., D, W., S, W., & MC., M. (2018). Using machine learning to advance synthesis and use of conservation and environmental evidence.. Conserv Biol. https://doi.org/10.1111/cobi.13117
Source records
- europe-pmc · retrieved 2026-09-25T02:48:59.676Z