Table 2.

Summary of the results liner regressions of model-predicted accuracies to observed detection accuracies shown in Fig. 3. Correlation coefficients in Table 2 section A are also shown in Fig. 3.

Outputs of linear regressions of predicted versus observed detection accuracies
Model form
$A_{ijk}^{\text{Model}}=1+A_{ijk}^{\text{Human}}$
A: Fixed fits
Subset of data	Intercept	Slope	$R$-squared	$\rho$ (Pearson)	$\rho$ (Spearman)	Legend (Fig. 3)
FBP	0	1	0.65	0.82	0.82	Black, dotted
SAFIRE	0	1	0.75	0.89	0.90
All data	0	1	0.71	0.84	0.85
B: Least squares fits
Subset of data	Intercept	Slope	$R$-squared	$\rho$ (Pearson)	$\rho$ (Spearman)	Legend (Fig. 3)
FBP	$-0.007364$	1.027	0.669	As above	As above	Blue, dash-dot
SAFIRE	$-0.1783$	1.219	0.795	As above	As above	Red, dashed
All data	$-0.05458$	1.074	0.711	As above	As above	Gray, solid