Participants were asked to categorize their methods as one of the five method categories-physical (QM), physical (MM), empirical, or mixed. Participants were asked to indicate their method based on the following definitions: Empirical models are prediction methods that are trained on experimental data, such as QSPR, machine learning models, artificial neural networks, etc. Physical models are prediction methods that rely on the physical principles of the system such as MM or QM based physical methods to predict molecular properties. Participants were asked to indicate whether their physical method was QM or MM based. Methods taking advantage of both kinds of approaches were asked to be reported as "Mixed". If a participant chose the "Mixed" category, they were asked to explain their decision in the method description section in their submission file.