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Published Erratum

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

Maria A Gartstein et al. PLoS One. .

Abstract

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

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Erratum for

  • Using machine learning to understand age and gender classification based on infant temperament.
    Gartstein MA, Seamon DE, Mattera JA, Bosquet Enlow M, Wright RJ, Perez-Edgar K, Buss KA, LoBue V, Bell MA, Goodman SH, Spieker S, Bridgett DJ, Salisbury AL, Gunnar MR, Mliner SB, Muzik M, Stifter CA, Planalp EM, Mehr SA, Spelke ES, Lukowski AF, Groh AM, Lickenbrock DM, Santelli R, Du Rocher Schudlich T, Anzman-Frasca S, Thrasher C, Diaz A, Dayton C, Moding KJ, Jordan EM. Gartstein MA, et al. PLoS One. 2022 Apr 13;17(4):e0266026. doi: 10.1371/journal.pone.0266026. eCollection 2022. PLoS One. 2022. PMID: 35417495 Free PMC article.

References

    1. Gartstein MA, Seamon DE, Mattera JA, Bosquet Enlow M, Wright RJ, Perez-Edgar K, et al.. (2022) Using machine learning to understand age and gender classification based on infant temperament. PLOS ONE 17(4): e0266026. 10.1371/journal.pone.0266026 - DOI - PMC - PubMed

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