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Other than C4, all other conductive features were validated by sensitivity tests (see Additional file 3: Figs. 1, 2 and 3), considering the data fit of the apparent resistivity and phase curves for observed and modeled data.
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The inserted features are validated from functionality and manufacturing point of view.
Regardless of the approach and the capabilities of the simulator it is important that all supported features are validated by analyzing output, where possible comparing to known analytical solutions.
As Zumbo BD has pointed out, the feature being validated is the inferences one makes from a measure assuming that inferences made from all empirical measures, irrespective of their apparent objectivity, have a need for validation.
To avoid overfitting, all model selection procedures were carried out with the training data, and the models (particularly the five feature group scores and the final feature score) were validated by using a separate validation data set.
Distinct lattice dilations were validated featuring of c-axis direction and led to an increase of ca. 4.95 Å in d001 interplanar spacing.
CMAP and force features were quantified using custom MATLAB scripts, which were validated through comparisons with manually compiled data.
The results were validated by comparing them with the target neurons based on SOM feature map.
Only ten were validated.
Positive results were validated.
All of these features have been validated against the existing ARIES-AT baseline case.
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