Fine-tuned transformer models classify Swiss National Science Foundation grant peer review sentences into twelve content categories with an average macro F1 of 0.85, enabling large-scale analysis of review reports.
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A Supervised Machine Learning Approach for Assessing Grant Peer Review Reports
Fine-tuned transformer models classify Swiss National Science Foundation grant peer review sentences into twelve content categories with an average macro F1 of 0.85, enabling large-scale analysis of review reports.