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A 2026 study by Aihua Zhang presents a framework for climate vulnerability assessment using Large Language Models and conformal prediction. The 18.6 KB document contains empirical validation results from Guangdong, Sichuan, and Yunnan provinces. It reports performance metrics like a calibration correlation of 0.816 and a root mean square error of 7.8.
Primary content is a research paper in DOCX format (18.6 KB), not a structured dataset. The Climate Vulnerability Scores and performance metrics are reported within the text; no raw or tabular data files are provided.