Table 1 Top: Evaluation of the prediction accuracy by compartment-wise comparison of the adjusted coefficient of determination R² derived from a linear regression of ground truth and pH values predicted by conventional line fitting (model “Modelling of NMR pH_e spectra” and “Data analysis and conventional line fitting” sections) and the neural networks after application to 20 synthetic test spectra; Bottom: Linear slope coefficients β derived from linear regressions to evaluate prediction bias

From: Prediction of multiple pH compartments by deep learning in magnetic resonance spectroscopy with hyperpolarized ¹³C-labelled zymonic acid