Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.
- DOI
- 10.1038/s41598-025-89606-9
- Published
- 2025-03-08
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
serious concern Score 18/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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:10.1038/s41598-025-89606-9,
title = {Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.},
author = {Chandra SS and Kumar R and Arjunasamy A and Galagali S and Tantri A and Naganna SR.},
year = {2025},
journal = {Sci Rep},
doi = {10.1038/s41598-025-89606-9},
url = {https://doi.org/10.1038/s41598-025-89606-9}
}RIS
TY - JOUR TI - Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability. AU - Chandra SS AU - Kumar R AU - Arjunasamy A AU - Galagali S AU - Tantri A AU - Naganna SR. PY - 2025 JO - Sci Rep DO - 10.1038/s41598-025-89606-9 UR - https://doi.org/10.1038/s41598-025-89606-9 ER -
APA
SS, C., R, K., A, A., S, G., A, T., & SR., N. (2025). Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability.. Sci Rep. https://doi.org/10.1038/s41598-025-89606-9
Source records
- europe-pmc · retrieved 2026-09-25T20:03:33.320Z
- doaj · retrieved 2026-09-25T20:03:33.329Z