Uncertainty evaluation is a systematic methodological approach concerned with the identification, quantification, and propagation of sources of variability and potential error in data, measurements, model predictions, or experimental results. It investigates the reliability and dispersion of outcomes arising from inherent randomness, measurement limitations, model approximations, or incomplete knowledge, providing crucial insights into the confidence level and trustworthiness of scientific findings and enabling robust decision-making in complex systems.