Although OWA is an innovative and physically-based approach, its scalability and applicability might limit its full potential. These methods requires the pre-computation of orbital coefficients, which are not generally available for most published datasets. Furthermore, the OWA weights are learnt by a second atomistic model which is inherently not scalable as it imposes a doubling of the model's requirements and an additional model must be added for each new property to be predicted in a multi-task scenario. Perhaps most limiting, the OWA approach is engineered specifically for orbital properties, with no straightforward analogue for properties that do not have a well-defined orbital basis.