Sentence examples for predictions as was from inspiring English sources

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Exact(4)

Where DAMs (and other mathematical models) contain parameters which are poorly understood and therefore particularly uncertain, for example, transmission probabilities, then different models of the same outcome can result in very different predictions, as was the case with predicting the population impact of chlamydia screening [ 9, 21- 23].

The mean change in species' mean state-wide probability of occurrence was also greater for Maxent-based predictions than for GAM-based predictions, as was the number of species whose distributions were predicted to decrease.

The result made it evident that a multivariant model is more completely validated through simultaneous verification of micro and macroscale predictions as opposed to only verifying macroscale predictions, as was the previous state of the art.

We expected that the known instances of direct TF cooperativity would tend to coincide with the most statistically significant TACO predictions, as was the case in our previous work based on UW DNase-seq data alone [ 10].

Similar(56)

These were consistent with the model predictions, as were the lack of seroconversions in the other months.

Adding such information improves predictions, as is shown in Additional file 1, in which the inclusion of developmental-specific information consistently improves the accuracy of functional predictions.

Site-correct filters estimated in this study are indispensable in the scheme of numerical shake prediction, as is shown by Hoshiba and Aoki (2015).

One omitted point in Washington was slightly outside areas of high prediction, as were 3 points in California, so again data precision may come into the picture.

On the C-terminal end of syntaxin, the measured distances also match the prediction, as is seen for measurements between sites 105 and 216.

If a scorer is designed to normalize away these differences by taking into account the density of the spectrum prediction (as is the case for the HGT model), it can benefit from more accurate predictions.

In the present context, it seems advantageous to define prediction as being related to probability and attention as being related to instructional (and possibly even motivational, emotional) relevance (e.g. Summerfield & Egner, 2009; Kok et al., 2012b).

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