Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD

  • Suhan Wu,
  • Jingyi Duan,
  • Min Luo

S3 Fig was uploaded incorrectly. Please see the correct S3 Fig here.

Supporting information

S3 Fig. Confusion-matrix heatmap for the calibrated HGB model at the reference threshold t = 0.5 on the held-out group test set.

https://doi.org/10.1371/journal.pone.0355736.s001

(TIF)

Reference

  1. 1. Wu S, Duan J, Luo M. Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD. PLoS One. 2026;21(7):e0352867. pmid:42455807

Citation: Wu S, Duan J, Luo M (2026) Correction: Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD. PLoS One 21(8): e0355736. https://doi.org/10.1371/journal.pone.0355736

Published: August 7, 2026

Copyright: © 2026 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.