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The University of Pennsylvania School of Engineering and Applied Science conducted a study to evaluate the effectiveness of machine learning models in detecting machine-generated text. The study found that while commercial detectors claim up to 99% accuracy, they may not be as successful in detecting subtle patterns and evasive techniques used by machine-generated text. This highlights the need for continued research and development in this area to prevent potential harm caused by the misuse of machine-generated text.