The phrase "accurate across" is correct and usable in written English.
It can be used to describe something that maintains precision or correctness in various contexts or areas.
Example: "The data collected from the survey was accurate across all demographics, ensuring reliable results."
Alternatives: "consistent throughout" or "precise in all areas".
But Congress has resisted all appeals to pass a law that would ensure that electronic voting is honest and accurate across the nation.
It is demonstrated that the method is accurate across the entire spectrum of the angular momentum operator for an appropriate sampling grid.
Glomerular filtration rate (GFR -estimating equations based on serum creatinine level may not be accurate across racial GFR -estimatingof diffequationsmong races in creatinine generation.
His weapon can be accurate across 500 yards, say ballistics specialists who found he is using high-intensity.223-caliber bullets of the sort designed to bring down soldiers or large game on the run.
Our main conclusion is that the Box-adjusted Wald-type statistic is the only statistic that is accurate across all the situations considered and therefore we recommend it for general use.
"My take on this is that it's very hard to train an algorithm that would be accurate across a wide variety of people because energy expenditure is variable based on someone's fitness level, height and weight, etc". Heart rate, she said, is measured directly, whereas energy expenditure must be measured indirectly through proxy calculations.
We hypothesized that BayesR results in more accurate across-breed genomic predictions because it locates QTL effects more precisely in the genome.
Accurate across-breed genomic predictions rely on the presence of common genomic variants with a common substitution effect in each breed.
Likewise, there is nothing in the univariate response properties of areas aIPS and PMd to suggest that only the latter area will show accurate across-effector classification.
The analytical leverage associated with a large sample size can be gained by integrating several small datasets to enable effective and accurate across-dataset comparisons.
If successful, this cross-classification would suggest that the object-directed action plans being decoded are to some extent independent of the acting effector (at least to the extent that accurate across-effector classification can be achieved).
