Sentence examples for specific metric from inspiring English sources

The phrase "specific metric" is correct and can be used in written English.
It is often used to refer to a particular measure or standard that is used to evaluate or assess something. Example: "The success of our marketing campaign will be determined by a specific metric: the number of conversions it generates." In this sentence, "specific metric" refers to the specific measure of success that will be used to evaluate the marketing campaign, in this case, the number of conversions.

Exact(20)

"The company is now one of the few, if not the only, large financial institution that does not tie any element of CEO pay to achievement of goals for a specific metric or metrics," ISS said in its advice to shareholders ahead of JP Morgan's annual meeting on 19 May.

But, Fichtenbaum's opposition isn't to any specific metric; it's to the very idea of evaluation— not educational, not civic, not financial– nothing.

When a company with 13 million users is outpacing one with 500 million on one specific metric,  additional context is needed to understand exactly what is going on.

A second approach would replace equality on a specific metric of advantage with social equality or equality of respect (Anderson 1999; Miller 1999; Norman 1997, 1999).

Translating these general observations into specific metric for brain activities is the subject of many studies in the literature including this paper.

This is the contrary to our current approach where the individual would be penalised quite heavily depending on the specific metric that has been applied.

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Similar(40)

To overcome this issue, we identified genes that are likely expressed exclusively in a single sex by using a sex-specific metric of tissue specificity: (1) where E i is mean expression of tissue i and Emax is the maximum of the tissue-specific mean expression across all tissues (Yanai et al. 2005).

Building from there, the key company-specific metric is revenue growth rate.

The overall performance P is represented by an application-specific metric.

The visual primitives are combined according to a concept-specific metric, which is learned from representative blocks or training data.

In addition, we adopt E-SVMs based robust classifier to further improve the classification robustness, which can be considered as an instance-specific metric learning scheme.

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