Predicting features for members of natural categories when categorization is uncertain.

Suggests that in feature prediction people consider all the categories an object could belong to when they judge the likelihood that the object has a feature. Consideration of the most likely category; Evidence on alternative categories with feature probabilities for familiar objects in meaningful concepts; People considering alternative categories in limited situations.