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Model-Specific Prompting Effects in Gastrointestinal Oncology: analysis code and derived data

Corrected analysis and figure-generation package for a benchmark of six large language models, four single-model prompting strategies, and a separate GPT-5.4-assisted external-review workflow across 119 de-identified gastrointestinal oncology cases.

By Yuan, Jiajia, Zhou, Shengyuan, Yang, Guangzhengao, Zhao, Jie, Xu, Lingxiao, Jin, Zhao, Cao, Yanshuo, Chen, Zifan, Li, Yanyan, Feng, Xujiao, Dong, Bin, Shen, Lin, Chen, Yang, Zhang, LiToolReference information

Resource information

Format
zip
Original repository
22171030
DOI
10.5281/zenodo.22171030
Credit basis
Creators in Zenodo record metadata
Access
Open files available from the original Zenodo deposit
Last checked
Nov 5, 2026
License
mit-license
Last record update
Nov 5, 2026

About this resource

Corrected analysis and figure-generation package for a benchmark of six large language models, four single-model prompting strategies, and a separate GPT-5.4-assisted external-review workflow across 119 de-identified gastrointestinal oncology cases.