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Uncertainties involved in loading, strength, and modeling are assessed.
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In particular, their numerical modeling is assessed by scientific criteria.
The limitations of the previous 1-D model are assessed.
Regenerated channelized models are assessed again following the same procedure to select the final models.
Identifiability of the model was assessed.
Once this had run to completion the model was assessed.
The performance of four models was assessed by classification accuracy.
All the regression models were assessed for their fitness'.
Models were assessed using goodness of fit (GoF) statistic.
The relative performance of the models is assessed.
The model is assessed against additional experimental data.
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