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"very high benchmark" is correct and usable in written English.
You can use it when you are referring to an extremely high level or standard that is difficult to reach. For example, "The company sets a very high benchmark for innovation that the employees must strive to meet."
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A growing body of evidence suggests that Chinese students do well academically partly because their parents set very high benchmarks, which the children then absorb.
This allows the attachment of a significance value to returned motifs, which returns known motifs with a very high specificity from benchmark datasets of known eukaryotic motifs.
The Chinese government had already cracked down on these vehicles by setting very high gas mileage benchmarks for them as part of the existing rules.
Participants set very high standards for benchmarking their referral letters.
The SLiMChance statistical model gives very high specificity predictions on benchmarking data (Edwards et al., 2007), making it suitable for large-scale analyses (Edwards et al., 2012).
A large cluster may be composed of several smaller benchmark complexes so that the sensitivity value of these small benchmark complexes is very high.
As shown in Table 3, all benchmarks obtain very high values for these tests, so miss counts and execution times are highly correlated and such correlation is highly linear (high values for Pearson's test).
Considering the overall decline in global equity and credit markets and the level of risk inherent in seeking (and in the case of the many of these endowments, achieving) very high returns relative to equity benchmarks, the only really surprising fact is that these portfolios are not down even more.
Mold spore concentrations in all of the samples were high to very high according to NAB national benchmarks (NAB 2006a), ranging from approximately 21,000 to 102,000 spores/m of air outdoors, and from 11,000 to 645,000 spores/m indoors.
Jitterbug is highly sensitive and able to recall transposon insertions with a very high specificity, as demonstrated by benchmarks in the human and Arabidopsis genomes, and validation using long PacBio reads.
Results clearly show that the proposed games with statistical CSI largely improve the initial EE while suffering a limited gap with respect to the instantaneous CSI benchmark, even for very high network loads.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com