"uniqueness value" is an acceptable term in written English that can be used in a variety of contexts.
For example, you could write, "The uniqueness value of a small business is reflected in its ability to offer customized services."
In addition, some HSQC databases use a "database uniqueness value", which reflects how unique a matched peak is in the database.
It gives the number of cross-peaks in the HSQC spectrum of the mixture that are uniquely assigned to metabolite A. For instance, a uniqueness value of 3 means that 3 of the HSQC peaks of the mixture are only assigned to metabolite A. Three unique matches out of 4 total matches for metabolite A is considered a good hit.
A uniqueness value was computed for each study point.
The changes in the uniqueness value are shown in Figure 3.
To address these short-comings, we introduce an additional parameter, which we term the 'assignment uniqueness value'.
For a matching ratio below 1.0 but higher than 0.6, the cutoff for the assignment uniqueness value is set to 3.
If all of the records that were removed were unique, our uniqueness values would increase slightly had they somehow been corrected and retained.
If none of the records that we removed were unique, our uniqueness values would decrease slightly had they somehow been corrected and retained.
Therefore, one would expect lower uniqueness values for geographic areas with larger populations.
We used the estimated uniqueness values as the correct values, and validated our prediction model on that basis.
Uniqueness values were below 0.36 for each of the primary variables, indicating that they share about two-thirds of variance.
