Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere.
- DOI
- 10.3389/fpsyt.2026.1784847
- Published
- 2026
- Container
- Frontiers in psychiatry
- 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.
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Cite this work
BibTeX
@article{allodium:10.3389/fpsyt.2026.1784847,
title = {Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere.},
author = {Lv Y and Zhou Z and Li J and Fang F and Wang H},
year = {2026},
journal = {Frontiers in psychiatry},
doi = {10.3389/fpsyt.2026.1784847},
url = {https://doi.org/10.3389/fpsyt.2026.1784847}
}RIS
TY - JOUR TI - Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere. AU - Lv Y AU - Zhou Z AU - Li J AU - Fang F AU - Wang H PY - 2026 JO - Frontiers in psychiatry DO - 10.3389/fpsyt.2026.1784847 UR - https://doi.org/10.3389/fpsyt.2026.1784847 ER -
APA
Y, L., Z, Z., J, L., F, F., & H, W. (2026). Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere.. Frontiers in psychiatry. https://doi.org/10.3389/fpsyt.2026.1784847
Source records
- pubmed · retrieved 2026-09-26T00:29:20.079Z