Deep Learning Models for FAMACHA©-Based Anemia Screening in Goats.
- DOI
- 10.3390/ani16203301
- Published
- 2026 Oct 20
- Container
- Animals : an open access journal from MDPI
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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:10.3390/ani16203301,
title = {Deep Learning Models for FAMACHA©-Based Anemia Screening in Goats.},
author = {Hilaire M and Bramantyo HA and Chamoun S and Sun Y and Wang H and Chaudhary S and Kanyi V and Ismael H and Abdo H and Min BR},
year = {2026},
journal = {Animals : an open access journal from MDPI},
doi = {10.3390/ani16203301},
url = {https://doi.org/10.3390/ani16203301}
}RIS
TY - JOUR TI - Deep Learning Models for FAMACHA©-Based Anemia Screening in Goats. AU - Hilaire M AU - Bramantyo HA AU - Chamoun S AU - Sun Y AU - Wang H AU - Chaudhary S AU - Kanyi V AU - Ismael H AU - Abdo H AU - Min BR PY - 2026 JO - Animals : an open access journal from MDPI DO - 10.3390/ani16203301 UR - https://doi.org/10.3390/ani16203301 ER -
APA
M, H., HA, B., S, C., Y, S., H, W., S, C., V, K., H, I., H, A., & BR, M. (2026). Deep Learning Models for FAMACHA©-Based Anemia Screening in Goats.. Animals : an open access journal from MDPI. https://doi.org/10.3390/ani16203301