Erratum: Correction: Using machine learning to understand age and gender classification based on infant temperament (PloS one (2022) 17 4 DOI: 10.1371/journal.pone.0266026)

Maria A. Gartstein, D. Erich Seamon, Jennifer A. Mattera, Michelle Bosquet Enlow, Rosalind J. Wright, Koraly Perez-Edgar, Kristin A. Buss, Vanessa LoBue, Martha Ann Bell, Sherryl H. Goodman, Susan Spieker, David J. Bridgett, Amy L. Salisbury, Megan R. Gunnar, Shanna Mliner, Maria Muzik, Cynthia A. Stifter, Elizabeth M. Planalp, Samuel A. Mehr, Elizabeth S. SpelkeAngela F. Lukowski, Ashley M. Groh, Diane M. Lickenbrock, Rebecca Santelli, Tina Du Rocher Schudlich, Stephanie Anzman-Frasca, Catherine Thrasher, Anjolii Diaz, Carolyn Dayton, Kameron J. Moding, Evan M. Jordan

Research output: Contribution to journalComment/debatepeer-review

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0266026.].

Original languageEnglish (US)
Pages (from-to)e0316132
JournalPloS one
Volume19
Issue number12
DOIs
StatePublished - 2024

Bibliographical note

Publisher Copyright:
Copyright: © 2024 Gartstein 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.

PubMed: MeSH publication types

  • Published Erratum

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