Question 93d69a

1.2 Command of Evidence - Choosing the strongest supporting line or detail
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Many archaeologists will tell you that egorizing excavated fragments of pottery by style, period, and what objects they belong to relies not only on standard criteria, but also on instinct developed over years of practice. In a recent study, however, researchers trained a deep-learning computer model on thousands of images of pottery fragments and found that it could egorize them as accurately as a team of expert archaeologists. Some archaeologists have expressed concern that they might be replaced by such computer models, but the researchers claim that outcome is highly unlikely.

Which finding, if true, would most directly support the researchers’ claim?

A.

In the researchers’ study, the model was able to egorize the pottery fragments much more quickly than the archaeologists could. 

B.

In the researchers’ study, neither the model nor the archeologists were able to accurately egorize all the pottery fragments that were presented.

C.

A survey of archaeologists showed that egorizing pottery fragments limits the amount of time they can dedie to other important tasks that only human experts can do.

D.

A survey of archaeologists showed that few of them received dedied training in how to properly egorize pottery fragments.