Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning.

Calibration assessment using logistic regression showed borderline significant underprediction of the true probabilities of non-arterial sample type overall (intercept = 0.31, p = 0.05), with mild underconfidence in predictions (slope 1.24, p < 0.01).

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