Sentence examples for predictions is due from inspiring English sources

We suspect that the discrepancy between the observations and model predictions is due to an overestimation of the observed fluxes (high turbidity, air bubbles) and an underestimation of the modeled fluxes because of missing physics related primarily to breaking waves.

The lower composite conductivity at higher Ag contents as compared to theoretical predictions is due primarily to the residual pore phase, associated with the cavity formation for the composite containing 10 vol.% Ag.

The improvement in species predictions is due to the fact that the present model simulates chemical reaction throughout the entire main reaction chamber in an RCM, while the homogeneous model utilizes a reactor model that simulates conditions inside the core of the reaction chamber only.

The difference in these predictions is due to different assumptions on the relationship between swimming speed and energy use in fish, i.e. we assume a power function, as suggested by some authors [e.g. 21], [29], whereas Trump and Leggett [19] assumed an exponential function.

It is found that the differences in the predictions are due to the mixing model only.

In some areas, inaccurate predictions are due to uncertainty in the initial crustal boundary definition or from surficial processes that mask the crustal block geochemical signature.

A large part of the false-positive and false-negative predictions are due to the latter type of errors.

In our examples, the differences in predictions are due largely to assumptions about the relationship between sequence and function.

In cases where allele substitution effects were equal across breeds, differences in accuracy between single- and across-breed genomic predictions were due to differences in allele frequencies, relationships and LD pattern across breeds.

Our model performs significantly better with data from the true distribution, suggesting that our predictions are due to the specific configuration of gene expression and the metabolites that we are testing and not due to a global trend in the expression data.

This over-prediction is due to a one-dimensional flow assumption in the Johanson model.