Table 3. Model discrimination and calibration in the test data.

Model	Score			Difference between Ali-M3 confidence
	AUROC (95% CI)	Brier score (95% CI)		AUROC (95% CI)	Brier score (95% CI)
Full model*	0.91 (0.86 to 0.95)	0.10 (0.07 to 0.13)		0.13 (0.07 to 0.19)	−0.13 (−0.17 to −0.09)
A-blood model	0.90 (0.86 to 0.94)	0.12 (0.08 to 0.16)		0.12 (0.07 to 0.18)	−0.11 (−0.15 to −0.07)
Ali-M3 confidence	0.78 (0.71 to 0.83)	0.23 (0.19 to 0.27)		–	−

*, machine learning model using all variables; , machine learning model using 8 variables including Ali-M3 confidence, white blood cell, hemoglobin, platelet, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, and C-reactive protein. AUROC, area under receiver operator curve; CI, confidence interval.