Identify any disclosed quantitative metrics or monetary amounts subject to high measurement uncertainty, specifying the sources of uncertainty and the assumptions, approximations, or judgments applied.

Metrics with High Measurement Uncertainty: Identify the quantitative metrics and monetary amounts that have a high degree of uncertainty (e.g., estimated environmental liabilities, carbon footprint calculations, social impact valuations). Sources of Uncertainty: Explain the key factors contributing to measurement uncertainty—e.g., data availability issues, reliance on estimates, variability in external factors, or methodological limitations. Assumptions, Approximations, and Judgements: Describe the key assumptions made in calculations, any approximations used, and significant judgements applied (e.g., extrapolating from sample data, using sector-wide averages, discount rates for future impacts). https://xbrl.efrag.org/e-esrs/esrs-set1-2023.html#4140