Journal article · 2023
Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research
| Venue | Proceedings of the National Academy of Sciences |
|---|---|
| DOI | 10.1073/pnas.2308195120 |
| URL | https://pnas.org/doi/10.1073/pnas.2308195120 |
| Topics | ReplicHAI / LLM simulation & replication prediction |
| ISSN | 0027-8424, 1091-6490 |
| issue | 33 |
| journalAbbreviation | Proc. Natl. Acad. Sci. U.S.A. |
| language | en |
| libraryCatalog | DOI.org (Crossref) |
| pages | e2308195120 |
| shortTitle | Reply to Crockett et al. and Mottelson and Kontogiorgos |
| volume | 120 |
BibTeX
@article{youyou_reply_2023,
title = {Reply to {Crockett} et al. and {Mottelson} and {Kontogiorgos}: {Machine} learning’s scientific significance and future impact on replicability research},
volume = {120},
issn = {0027-8424, 1091-6490},
shorttitle = {Reply to {Crockett} et al. and {Mottelson} and {Kontogiorgos}},
url = {https://pnas.org/doi/10.1073/pnas.2308195120},
doi = {10.1073/pnas.2308195120},
language = {en},
number = {33},
urldate = {2026-11-05},
journal = {Proceedings of the National Academy of Sciences},
author = {Youyou, Wu and Yang, Yang and Uzzi, Brian},
month = aug,
year = {2023},
pages = {e2308195120},
}