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However, we have not used one vs rest approach for prediction, it means our predictions are not exclusive prediction for a single class and our models may predict a peptide inducing for more than one class of antibodies based on prediction score.

Even adopting asymptotically correct correlations for heat and mass transfer coefficients, simpler 1D models may predict temperature profiles significantly different from those of the rigorous 3D approach.

Traditional methods using steady-state simulations with RANS models may predict adequate flow characteristics of cross ventilation, provided the selected turbulence model, boundary conditions and level of mesh resolution are appropriate.

Ultimately, such models may predict screening outcomes of novel compounds, guiding future discovery steps.

Some models may predict changes in other tree attributes such as height to crown base, crown ratio, crown width, and so on.

Results from the western US suggest that fine-scale models may predict vegetation to persist where coarse-scale models show no suitable future climate (Guisan and Thuiller 2005; Dobrowski 2010).

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New model may predict cyclone activity on other planets.

It is also shown that the efficiency-based model may predict incorrect mass transfer directions for trace components; this behaviour is caused by neglecting the convective contribution in the calculation of multicomponent mass transfer rates.

Decreasing period factor decreases the prediction for larger diameters associated with later periods, implying that although the fixed part of the mixed-effects model seems unrealistic, the full model may predict realistic growths.

We have argued before that a well-adjusted HH model may predict the effect of blocking individual ionic currents.

Their exclusion does not invalidate the simulation model; it merely simplifies the model but might also mean that the model may predict a slightly better result, or predict slightly less variability, than might be achieved in practice.

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