Before revision:  Unfortunately, despite this uniqueness result, there are a multiplicity of Shapley values used in explaining a model's prediction. This is because there are many ways to apply the Shapley value that differ in how they reference the model, the training data, and the explanation context.
After revision:  Unfortunately, despite this uniqueness result, there are a multiplicity of ways in which the Shapley value that differ in how they reference the model, the training data, and the explanation context.