A machine learning engineer is building a neural network image classifier in SageMaker that must output calibrated class probabilities so a downstream business rule can act only when confidence exceeds 90%. During training, the engineer needs to choose a loss function for the final softmax output layer. Which loss function best supports producing well-calibrated probability estimates for this multiclass problem?