Prediction of surfactin fermentation with Bacillus subtilis DSM10 by response surface methodology optimized artificial neural network.
- DOI
- 10.1002/cbf.3776
- Published
- 2023 Mar
- Container
- Cell biochemistry and function
- Publisher
- Not recorded
- Open access
- unknown
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:10.1002/cbf.3776,
title = {Prediction of surfactin fermentation with Bacillus subtilis DSM10 by response surface methodology optimized artificial neural network.},
author = {Czinkóczky R and Sakiyo J and Eszterbauer E and Németh Á},
year = {2023},
journal = {Cell biochemistry and function},
doi = {10.1002/cbf.3776},
url = {https://doi.org/10.1002/cbf.3776}
}RIS
TY - JOUR TI - Prediction of surfactin fermentation with Bacillus subtilis DSM10 by response surface methodology optimized artificial neural network. AU - Czinkóczky R AU - Sakiyo J AU - Eszterbauer E AU - Németh Á PY - 2023 JO - Cell biochemistry and function DO - 10.1002/cbf.3776 UR - https://doi.org/10.1002/cbf.3776 ER -
APA
R, C., J, S., E, E., & Á, N. (2023). Prediction of surfactin fermentation with Bacillus subtilis DSM10 by response surface methodology optimized artificial neural network.. Cell biochemistry and function. https://doi.org/10.1002/cbf.3776
Source records
- pubmed · retrieved 2026-09-27T11:18:44.362Z