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Let 1.25x = average annual rise in last 30 years.
A bioinformatician applies a machine learning model to classify 800 genetic markers. The model correctly identifies 85% of disease-associated markers and incorrectly flags 3% of benign markers as positive. If 200 markers are truly disease-associated, how many total positive predictions does the model make?
But wait: the percentages refer to emission sources, not emissions.

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