Sentence examples for gauging the likelihood of from inspiring English sources

Exact(2)

In the following section, to deepen our understandings of ideational change underpinning the reforms and to assist in gauging the likelihood of the reforms having lasting impact, we examine how quality has been shaped by particular discourses.

All three measures are readily derivable and provide a means of gauging the likelihood of making false matches and the trade-off between additional true and false matches when reducing the number of variables used to identify a match.

Similar(57)

"Better than 50-50" is how Romans gauged the likelihood of Shackleford's racing at Belmont.

So while an individual Academic Index number is often used by coaches to gauge the likelihood of a recruit's being admitted, it is the sums of the numbers — computed by sport and by institution — that matter most.

However, as part of the research process, the investor should still make an attempt to gauge the likelihood of a future strike and its potential effect on financial results.

Asked to gauge the likelihood of him prevailing, Begich told Maddow, "The line we have been using is we're cautiously optimistic".

The San Francisco firm provides credit-scoring software similar to that used by Progreso by combining database searches and what Gutierrez has called an "eHarmony-type questionnaire" to gauge the likelihood of repayment.

To gauge the likelihood of this interpretation, we considered whether removing data for the three deafened birds who sang the most (2,240, 2,013 and 1,566 secs) would reveal a correlation.

The result of the first troponin test in the ED helps gauge the likelihood of admission versus discharge and the likely focus of early in-hospital care.

To better gauge the likelihood that the downregulation of transcripts was a laboratory colony-specific phenomenon, transcripts were validated from two independent colonies of A. glycines from different geographic locales: the experimental biotype 3 colony and a biotype 1 colony established from multiple field collections in Ohio.

It should be possible to combine these sorts of modeling approaches with surveillance data to gauge the likelihood that a sampled variant will spread through the population.

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