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A binary classification model has two output nodes and uses the softmax activation function and a cross-entropy loss function. The model has derivatives of softmax and cross entropy with respect to the net function of -0.5 and 0.5, respectively. What is the net function output of the node whose ground truth is false minus the net function output of the node whose ground truth is true?
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