Although this approach has shown strong predictive capabilities, uncertainties in the model's parameters can significantly influence their predictions and subsequent tasks where the model is applied. The evaporation of ingredients used in the formulation is a pivotal concern for product design. A component's vapor pressure is essential in evaporation rate prediction within this framework. Yet, vapor pressure is often based on limited experiments, introducing a notable degree of uncertainty, particularly for rarer perfume ingredients. Additionally, for more complex mixtures -whether they are non-ideal, azeotropic, or close-boiling -static uncertainties are inherently present in comprehensive thermodynamic models like UNIFAC, UNIQUAC, or NRTL, which are utilized to obtain deviations from ideality through activity coefficients . Therefore, it is important to identify, quantify, and incorporate these uncertainties into the models.