Integrated machine learning models for optimizing and assessing microbial remediation of indigo dye.
- DOI
- 10.1007/s11274-026-05251-y
- Published
- 2026 Sep 11
- Container
- World journal of microbiology & biotechnology
- 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:10.1007/s11274-026-05251-y,
title = {Integrated machine learning models for optimizing and assessing microbial remediation of indigo dye.},
author = {Vala DP and Gajjar SB and Tipre DR and Dave SR and Patel DK},
year = {2026},
journal = {World journal of microbiology \& biotechnology},
doi = {10.1007/s11274-026-05251-y},
url = {https://doi.org/10.1007/s11274-026-05251-y}
}RIS
TY - JOUR TI - Integrated machine learning models for optimizing and assessing microbial remediation of indigo dye. AU - Vala DP AU - Gajjar SB AU - Tipre DR AU - Dave SR AU - Patel DK PY - 2026 JO - World journal of microbiology & biotechnology DO - 10.1007/s11274-026-05251-y UR - https://doi.org/10.1007/s11274-026-05251-y ER -
APA
DP, V., SB, G., DR, T., SR, D., & DK, P. (2026). Integrated machine learning models for optimizing and assessing microbial remediation of indigo dye.. World journal of microbiology & biotechnology. https://doi.org/10.1007/s11274-026-05251-y
Source records
- pubmed · retrieved 2026-09-25T16:17:08.818Z