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The limitations of machine learning models for predicting scientific replicability

Detalles Bibliográficos
Autores principales: Crockett, M. J., Bai, Xuechunzi, Kapoor, Sayash, Messeri, Lisa, Narayanan, Arvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433273/
https://www.ncbi.nlm.nih.gov/pubmed/37549293
http://dx.doi.org/10.1073/pnas.2307596120
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author Crockett, M. J.
Bai, Xuechunzi
Kapoor, Sayash
Messeri, Lisa
Narayanan, Arvind
author_facet Crockett, M. J.
Bai, Xuechunzi
Kapoor, Sayash
Messeri, Lisa
Narayanan, Arvind
author_sort Crockett, M. J.
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spelling pubmed-104332732023-08-18 The limitations of machine learning models for predicting scientific replicability Crockett, M. J. Bai, Xuechunzi Kapoor, Sayash Messeri, Lisa Narayanan, Arvind Proc Natl Acad Sci U S A Letters National Academy of Sciences 2023-08-07 2023-08-15 /pmc/articles/PMC10433273/ /pubmed/37549293 http://dx.doi.org/10.1073/pnas.2307596120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Letters
Crockett, M. J.
Bai, Xuechunzi
Kapoor, Sayash
Messeri, Lisa
Narayanan, Arvind
The limitations of machine learning models for predicting scientific replicability
title The limitations of machine learning models for predicting scientific replicability
title_full The limitations of machine learning models for predicting scientific replicability
title_fullStr The limitations of machine learning models for predicting scientific replicability
title_full_unstemmed The limitations of machine learning models for predicting scientific replicability
title_short The limitations of machine learning models for predicting scientific replicability
title_sort limitations of machine learning models for predicting scientific replicability
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10433273/
https://www.ncbi.nlm.nih.gov/pubmed/37549293
http://dx.doi.org/10.1073/pnas.2307596120
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