The ability of generative AI to evaluate the quality of scholarly output

Marta Sereno, Tom Heyman

DOI: 10.17605/osf.io/x4m8s
Published: 2027
Container: Not recorded
Publisher: OSF Registries
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.17605/osf.io/x4m8s,
  title = {The ability of generative AI to evaluate the quality of scholarly output},
  author = {Marta Sereno and Tom Heyman},
  year = {2027},
  doi = {10.17605/osf.io/x4m8s},
  url = {https://doi.org/10.17605/osf.io/x4m8s}
}

RIS

TY  - JOUR
TI  - The ability of generative AI to evaluate the quality of scholarly output
AU  - Marta Sereno
AU  - Tom Heyman
PY  - 2027
DO  - 10.17605/osf.io/x4m8s
UR  - https://doi.org/10.17605/osf.io/x4m8s
ER  -

APA

Sereno, M., & Heyman, T. (2027). The ability of generative AI to evaluate the quality of scholarly output. https://doi.org/10.17605/osf.io/x4m8s

Source records

datacite · retrieved 2026-09-25T08:46:19.852Z