Suppose a research team is evaluating a new diagnostic test and reports an area under the ROC curve (AUC) of 0.82. If the team decides to set a classification threshold that maximizes the Youden's Index ($J = sensitivity + specificity - 1$), what does a value of $J = 0.5$ imply about the diagnostic performance compared to random guessing?