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Open Access

Correction

Correction: Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study researcher platform

  • The PLOS One Staff

Notice of Republication

This article was republished on April 6, 2026, to correct an error in the article title. The words “Teachers Study” are miscapitalized in the article title. The correct title is: Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study researcher platform. The correct citation is: Lacey JV Jr, Spielfogel ES, Benbow JL, Savage KE, Lin K, Anderson CAM, et al. (2025) Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study researcher platform. PLoS One 20(5): e0296611. https://doi.org/10.1371/journal.pone.0296611. The publisher apologizes for the error. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected articles are provided here for reference.

Supporting information

S1 File. Originally published, uncorrected article.

https://doi.org/10.1371/journal.pone.0347515.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pone.0347515.s002

(PDF)

Reference

  1. 1. Lacey JV Jr, Spielfogel ES, Benbow JL, Savage KE, Lin K, Anderson CAM, et al. Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study researcher platform. PLoS One. 2025;20(5):e0296611. pmid:40354347

Citation: The PLOS One Staff (2026) Correction: Automated self-service cohort selection for large-scale population sciences and observational research: The California Teachers Study researcher platform. PLoS One 21(4): e0347515. https://doi.org/10.1371/journal.pone.0347515

Published: April 21, 2026

Copyright: © 2026 The PLOS One Staff. 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.