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. 2021 Aug 27;118(35):e2104559118. doi: 10.1073/pnas.2104559118

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Fig. 4. — Effect of metamodeling on model accuracy (systematic error) and precision (random error). (A) Statistical dependency of the output systematic error ( $\bar{e r r}$ ) of the variable $k_{t}^{V E}$ in the vesicle exocytosis model on the input systematic error of the variable $G_{b}^{P R}$ in the postprandial response model. The coupling coefficient corresponds to the slope of the line. (B) The output systematic error of $k_{t}^{V E}$ given different input systematic errors of $k_{t}^{V E}$ and $G_{b}^{P R}$ . (C) Statistical dependency of the output random error ( $σ$ ) of $k_{t}^{V E}$ on the input random error of $G_{b}^{P R}$ . (D) The overlap between input and output $k_{t}^{V E}$ , as a function of input systematic error (x axis) and random error (y axis) of $G_{b}^{P R}$ . Conflicting models correspond to the red areas. (E–G) The input and output PDFs of $k_{t}^{V E}$ corresponding to points E, F, and G in D, respectively. Arrow in D indicates the direction of resolving conflict by improving the accuracy in input $G_{b}^{P R}$ . All output values are at t = 100 min.