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Table 6.

Were labels derived from humans making discrete judgments of items?

 CountProportion
No/Machine-labeled 38 26.95% 
Yes for all items 53 37.59% 
Yes for some items 10 7.09% 
No information (implicit yes) 39 27.66% 
Unsure (but assumed yes) 0.71% 
Subtotal: papers assumed to use human labeled-data 103 73.05% 
Total of applicable papers (presenting original ML classifier) 141 100.00% 
Nonapplicable papers 59 – 
 CountProportion
No/Machine-labeled 38 26.95% 
Yes for all items 53 37.59% 
Yes for some items 10 7.09% 
No information (implicit yes) 39 27.66% 
Unsure (but assumed yes) 0.71% 
Subtotal: papers assumed to use human labeled-data 103 73.05% 
Total of applicable papers (presenting original ML classifier) 141 100.00% 
Nonapplicable papers 59 – 
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