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We observe that the base model performs reasonably well, with an (R^{2}) of 0.23.
The model performs reasonably well in reproducing the spatial distribution of SAV.
The fixed-backbone model performs reasonably well with an overall rmsd between computed and predicted side-chain order parameters of 0.26.
An R value of 0.78 suggests that the model performs reasonably well.
The joint model performs reasonably well, with the association parameter in particular being quite robust to such model misspecification.
The results of our simulation study indicate that our proposed model performs reasonably well even if the underlying distribution of the positive outcome is misspecified.
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In general, the EDC model performed reasonably well for the 9% O2 and 6% O2 flames, but not for the 3% O2 case.
This analysis showed that, although the model performed reasonably well, some piezometric level underestimations persisted in the south of the basin.
Among the four modelled key variables, i.e., water level, COD (in CODCr), NH4+-N and PO43−-P, the minimum value of the coefficient of determination (CoD) was 0.69, indicating the model performed reasonably well.
Overall, the model performed reasonably well, and it can be used as a management tool on tropical watersheds to estimate and compare sediment loads, and identify "hot spots" on the landscape.
The PESERA model performed reasonably well in predicting soil losses, but needs a better characterization of soil burn severity in the soil inputs (crusting and erodibility) because of the high sensitivity of the model to these parameters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com