It tends to get thrown off by element names that appear as the first word on a line in text values. Detailed accuracy information is given for each attribute in the section that describes it.
Attribute accuracy is the standard deviation of the replicate measurements at each site.
When cns gets hold of it, bad things happen. There isn't a general solution to this problem, since cns can only guess what the structure ought to be. For example, we can't tell it to reclassify as text all elements that follow textual values, because then the whole file would be put into the first scalar element found. That creates the desired result, of course, but my objective is to reduce your workload, not increase it. If we could assume that bona fide element names are always followed by a colon, this problem would be greatly ameliorated.