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PLoS One. 2024 Dec 17;19(12):e0316132. doi: 10.1371/journal.pone.0316132. eCollection 2024.
2
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本文引用的文献

1
Using machine learning to understand age and gender classification based on infant temperament.基于婴儿气质使用机器学习理解年龄和性别分类。
PLoS One. 2022 Apr 13;17(4):e0266026. doi: 10.1371/journal.pone.0266026. eCollection 2022.

更正:使用机器学习基于婴儿气质理解年龄和性别分类。

Correction: Using machine learning to understand age and gender classification based on infant temperament.

作者信息

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

出版信息

PLoS One. 2024 Dec 17;19(12):e0316132. doi: 10.1371/journal.pone.0316132. eCollection 2024.

DOI:10.1371/journal.pone.0316132
PMID:39689087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11651555/
Abstract

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

摘要

[本文更正了文章的数字对象标识符:10.1371/journal.pone.0266026。]