About: covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/1

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About: covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/1 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Claim, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Idea aif:I-node aif:KnowledgePosition_Statement claim
wasQuotedFrom	Evaluating human versus machine learning performance in classifying research abstracts
sioca:supports	covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/2
aif:claimText	ML classifiers trained on different training sets are also more reliable than human classifiers , meaning that different ML classifiers are more consistent in assigning the same classifications to any given abstract , compared to different human classifiers .
proves	covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/2
is sioca:supports of	covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/2
is has claim of	covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79
is proves of	covid:arg/44557db9dce19a72a599007f5a5c00ac8e031a79/2

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