A study concluded that among people with a certain virus, 99.3% of tests conducted were (correctly) positive, while for people without the virus, 98.1% of the tests were (correctly) negative. If 23% of patients actually carry the virus, what's the probability that a patient testing negative is truly free of the virus?

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