Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management
- DOI
- 10.1016/j.psj.2025.105439
- Published
- 2025-09
- Container
- Poultry Science
- Publisher
- Elsevier BV
- 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:10.1016/j.psj.2025.105439,
title = {Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management},
author = {Chalita Jainonthee and Phutsadee Sanwisate and Panneepa Sivapirunthep and Chanporn Chaosap and Duangporn Pichpol and Raktham Mektrirat and Sudarat Chadsuthi and Veerasak Punyapornwithaya},
year = {2025},
journal = {Poultry Science},
doi = {10.1016/j.psj.2025.105439},
url = {https://doi.org/10.1016/j.psj.2025.105439}
}RIS
TY - JOUR TI - Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management AU - Chalita Jainonthee AU - Phutsadee Sanwisate AU - Panneepa Sivapirunthep AU - Chanporn Chaosap AU - Duangporn Pichpol AU - Raktham Mektrirat AU - Sudarat Chadsuthi AU - Veerasak Punyapornwithaya PY - 2025 JO - Poultry Science DO - 10.1016/j.psj.2025.105439 UR - https://doi.org/10.1016/j.psj.2025.105439 ER -
APA
Jainonthee, C., Sanwisate, P., Sivapirunthep, P., Chaosap, C., Pichpol, D., Mektrirat, R., Chadsuthi, S., & Punyapornwithaya, V. (2025). Predicting and explaining high dead-on-arrival outcomes in meat-type ducks using deep learning: A path to improved welfare management. Poultry Science. https://doi.org/10.1016/j.psj.2025.105439
Source records
- crossref · retrieved 2026-09-26T16:14:23.058Z