Statistical analysis using Cochran's Q test to compare the efficacy of multiple classifiers yielded p-values of 0.564 and 0.308 for top-5 and top-20 annotation accuracy levels, respectively, which do not meet the threshold for statistical significance to reject the null hypothesis that all models perform equally well. These results suggest that the added computational complexity introduced by various MIST features, including dependencies on external tools, may not provide a commensurate improvement in database retrieval performance, indicating the need for a critical reassessment of these components within the model's architecture.