A bioinformatician applies a machine learning model that correctly identifies gene functions with 92% accuracy. If the model analyzes 2,500 genes, and 1,800 are truly annotated, how many non-annotated genes are incorrectly labeled if total errors are distributed uniformly across false positives and false negatives? - Portal da Acústica