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Consider a 4-class classification problem where the final layer of a model produces the following pre-activation scores for a single input: [1.0, 2.0, 1.5, 5.0]. The model then uses an activation function that exponentiates each score and normalizes the results to produce a probability distribution. Without performing the full calculation, which of the following statements best describes the resulting probability distribution?
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