Let us take protein folding prediction as an example. Only about 30% of the predicted folding patterns are correct. We must then go back to the last step, at which our prediction still matched reality. As soon as we get deviations we must scrutinize the deviating object, because - most likely - it is not a single object, but instead, 2 or more objects, which to us look still so similar that we cannot yet distinguish between them. In order for an object to no longer remain hidden, it must have at least one feature by which it differs from its background environment and other objects.
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