TABLE 1.

Cohen's kappa measured for the comparison between behavioral patterns obtained with GLS data (processed using the variance‐based or machine learning classifiers) and video data.

Comparison between	Categories	Dataset	κ	CI	N	N_nest	N_ind
Video and variance‐based classifier	Nest/not nest	Full	0.94	0.002	199,387	9	18
		Incubation	0.94	0.002	108,864	8	16
		Chick rearing	0.93	0.002	90,523	8	16
		Early chick rearing	0.93	0.003	57,050	7	14
		Middle chick rearing	0.86	0.010	33,473	4	8
Video and machine learning classifier	Nest/not nest	Full	0.95	0.001	199,387	9	18
		Incubation	0.96	0.002	108,864	8	16
		Chick rearing	0.94	0.002	90,523	8	16
		Early chick rearing	0.95	0.003	57,050	7	14
		Middle chick rearing	0.85	0.011	33,473	4	8
Video and variance‐based classifier	Nest/colony/foraging	Full	0.83	0.002	199,387	9	18
		Incubation	0.85	0.003	108,864	8	16
		Chick rearing	0.79	0.004	90,523	8	16
		Early chick rearing	0.83	0.004	57,050	7	14
		Middle chick rearing	0.56	0.010	33,473	4	8
Video and machine learning classifier	Nest/colony/foraging	Full	0.84	0.002	199,387	9	18
		Incubation	0.86	0.003	108,864	8	16
		Chick rearing	0.80	0.004	90,523	8	16
		Early chick rearing	0.84	0.004	57,050	7	14
		Middle chick rearing	0.56	0.010	33,473	4	8

Abbreviations: CI, 95% confidence interval; N, number of 1 min bouts included in the comparison; N_ind, number of individuals present in the comparison dataset; N_nest, number of nests present in the comparison dataset.