Table 2. Coefficients and 95% confidence intervals (CIs) for the optimal model or model sets to predict a) total revisits (treatment*size model with colony as a random effect) and b) correct choices before first revisit (model-averaged coefficients for treatment only, treatment + size and basic models.

Parameters
a	Total revisits
	Estimate	Std. Error	95% CIs
			Lower	Upper
(Intercept)	6.384	3.769	−1.003	13.771
Treatment (High)	−11.010	4.471	−19.773	−2.247
Treatment (LD.377)	−2.796	4.164	−10.957	5.365
Treatment (LD.091)	−2.534	4.698	−11.742	6.674
Size	−0.813	0.684	−2.154	0.528
Size:Treatment (High)	2.084	0.810	0.496	3.672
Size:Treatment (LD.377)	0.566	0.762	−0.928	2.060
Size:Treatment (LD.091)	0.536	0.854	−1.138	2.210
b	Correct choices before first revisit
Parameters	Regression coefficient (b)	Std. Error (SE(b))	Hazard Ratio (eb)	95% CIs on Hazard Ratio
				Lower	Upper
Treatment (High)	0.8295	0.3937	2.292	1.060	4.959
Treatment (LD.377)	0.3116	0.3663	1.366	0.666	2.800
Treatment (LD.091)	0.8353	0.3811	2.306	1.092	4.866
Size	0.1964	0.452	1.217	0.502	2.952

Parameters highlighted in bold are considered important to the model based on 95% CIs.