PCS-UQ: Uncertainty quantification via the Predictability-Computability-Stability framework.
- DOI
- 10.1073/pnas.2525138123
- Published
- 2026 Oct 20
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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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:10.1073/pnas.2525138123,
title = {PCS-UQ: Uncertainty quantification via the Predictability-Computability-Stability framework.},
author = {Agarwal A and Xiao F and Barter R and Ronen O and Fan B and Yu B},
year = {2026},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2525138123},
url = {https://doi.org/10.1073/pnas.2525138123}
}RIS
TY - JOUR TI - PCS-UQ: Uncertainty quantification via the Predictability-Computability-Stability framework. AU - Agarwal A AU - Xiao F AU - Barter R AU - Ronen O AU - Fan B AU - Yu B PY - 2026 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2525138123 UR - https://doi.org/10.1073/pnas.2525138123 ER -
APA
A, A., F, X., R, B., O, R., B, F., & B, Y. (2026). PCS-UQ: Uncertainty quantification via the Predictability-Computability-Stability framework.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2525138123
Source records
- pubmed · retrieved 2026-11-10T10:09:40.819Z