Cognitive Research: Principles and Implications

Table 1 False ID cut-offs, pAUC values, and standard errors for the FRS and participants collapsed across conditions and for each condition

From: Application of artificial intelligence to eyewitness identification

	False ID cut-off	pAUC	± se
Collapsed across condition
FRS	0.1344	0.0718	0.0155
Participants		0.0210	0.0021
Clarity condition
FRS
Clear	0.1114	0.0609	0.0135
Unclear		0.0269	0.0016
Participants
Clear		0.0220	0.0030
Unclear		0.0118	0.0021
Race condition
FRS
Black	0.0842	0.0309	0.0063
Hispanic		0.0091	0.0013
White		0.0195	0.0018
Participants
Black		0.0120	0.0024
Hispanic		0.0090	0.0017
White		0.0147	0.0033

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