Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research

Wu Youyou; Yang Yang; Brian Uzzi

doi:10.1073/PNAS.2308195120

Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research

Wu Youyou, Yang Yang, Brian Uzzi^*

^*Corresponding author for this work

Management and Organizations

Research output: Contribution to journal › Letter › peer-review

1 Scopus citations

Original language	English (US)
Article number	e2308195120
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	120
Issue number	33
DOIs	https://doi.org/10.1073/PNAS.2308195120
State	Published - Aug 15 2023

ASJC Scopus subject areas

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10.1073/PNAS.2308195120

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title = "Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning{\textquoteright}s scientific significance and future impact on replicability research",

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Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research. / Youyou, Wu; Yang, Yang; Uzzi, Brian.
In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 120, No. 33, e2308195120, 15.08.2023.

Research output: Contribution to journal › Letter › peer-review

TY - JOUR

T1 - Reply to Crockett et al. and Mottelson and Kontogiorgos

T2 - Machine learning’s scientific significance and future impact on replicability research

AU - Youyou, Wu

AU - Yang, Yang

AU - Uzzi, Brian

PY - 2023/8/15

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U2 - 10.1073/PNAS.2308195120

DO - 10.1073/PNAS.2308195120

M3 - Letter

C2 - 37549279

AN - SCOPUS:85166783709

SN - 0027-8424

VL - 120

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 33

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Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research

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