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The result is a practical way to separate two failure modes that are usually mixed together: a weak selector versus an information channel that cannot support the desired decision in the first place.
AURA achieves 95.47% accuracy in identifying active antibiotics, revealing that traditional methods misidentify the active set over 60% of the time.