A machine learning-based dual system coupling model of catalytic-gasification: a calcium-based case study with mechanistic interpretability.
- DOI
- 10.1016/j.biortech.2026.135743
- Published
- 2026 Aug 28
- Container
- Bioresource technology
- 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:10.1016/j.biortech.2026.135743,
title = {A machine learning-based dual system coupling model of catalytic-gasification: a calcium-based case study with mechanistic interpretability.},
author = {Ge Y and Li H and Li Z and Wang Z and Cui X and Yan B and Tao J and Cheng Z and Gao N},
year = {2026},
journal = {Bioresource technology},
doi = {10.1016/j.biortech.2026.135743},
url = {https://doi.org/10.1016/j.biortech.2026.135743}
}RIS
TY - JOUR TI - A machine learning-based dual system coupling model of catalytic-gasification: a calcium-based case study with mechanistic interpretability. AU - Ge Y AU - Li H AU - Li Z AU - Wang Z AU - Cui X AU - Yan B AU - Tao J AU - Cheng Z AU - Gao N PY - 2026 JO - Bioresource technology DO - 10.1016/j.biortech.2026.135743 UR - https://doi.org/10.1016/j.biortech.2026.135743 ER -
APA
Y, G., H, L., Z, L., Z, W., X, C., B, Y., J, T., Z, C., & N, G. (2026). A machine learning-based dual system coupling model of catalytic-gasification: a calcium-based case study with mechanistic interpretability.. Bioresource technology. https://doi.org/10.1016/j.biortech.2026.135743
Source records
- pubmed · retrieved 2026-09-26T00:33:55.372Z