A reproducible optimisation protocol for calibrating prompt-based large language model workflows in evidence synthesis.

Susnjak T

DOI: 10.1016/j.mex.2026.104041
Published: 2026 Dec
Container: MethodsX
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.mex.2026.104041,
  title = {A reproducible optimisation protocol for calibrating prompt-based large language model workflows in evidence synthesis.},
  author = {Susnjak T},
  year = {2026},
  journal = {MethodsX},
  doi = {10.1016/j.mex.2026.104041},
  url = {https://doi.org/10.1016/j.mex.2026.104041}
}

RIS

TY  - JOUR
TI  - A reproducible optimisation protocol for calibrating prompt-based large language model workflows in evidence synthesis.
AU  - Susnjak T
PY  - 2026
JO  - MethodsX
DO  - 10.1016/j.mex.2026.104041
UR  - https://doi.org/10.1016/j.mex.2026.104041
ER  -

APA

T, S. (2026). A reproducible optimisation protocol for calibrating prompt-based large language model workflows in evidence synthesis.. MethodsX. https://doi.org/10.1016/j.mex.2026.104041

Source records

pubmed · retrieved 2026-09-25T10:35:47.921Z
europe-pmc · retrieved 2026-09-25T10:35:47.932Z