Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves.
- DOI
- 10.3390/foods12244483
- Published
- 2023 Dec 14
- Container
- Foods (Basel, Switzerland)
- 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:10.3390/foods12244483,
title = {Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves.},
author = {Rodríguez-Fernández R and Fernández-Gómez Á and Mejuto JC and Astray G},
year = {2023},
journal = {Foods (Basel, Switzerland)},
doi = {10.3390/foods12244483},
url = {https://doi.org/10.3390/foods12244483}
}RIS
TY - JOUR TI - Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves. AU - Rodríguez-Fernández R AU - Fernández-Gómez Á AU - Mejuto JC AU - Astray G PY - 2023 JO - Foods (Basel, Switzerland) DO - 10.3390/foods12244483 UR - https://doi.org/10.3390/foods12244483 ER -
APA
R, R., Á, F., JC, M., & G, A. (2023). Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Leaves.. Foods (Basel, Switzerland). https://doi.org/10.3390/foods12244483
Source records
- pubmed · retrieved 2026-09-26T16:27:37.646Z