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If we now associate the class of all such terms to the substitutional quantifiers $\Sigma \alpha$ and $\Pi \alpha$, then a sentence like $\Sigma \alpha \ \alpha = \alpha$ is evaluated as true in virtue of the truth of formulas like $0 = 0$, whereas $\Pi \alpha \ \alpha < \alpha$ is evaluated as false in virtue of falsity of formulas like $0 < 0$.
In studies such as this, where an overwhelming proportion of the genome is evaluated as true negative in the confusion matrix, precision recall statistics can be a preferred option for genomic region prediction [ 57, 58].
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Then more complex formulas are evaluated as true or false, relative to a state.
Example [2] demonstrates a clear declarative clause, in which the servant states a proposition which can be evaluated as true or false.
This all suggests, these realists argue, that moral claims might well carry motivational implications, and that might be the insight behind Moore's Open Question Argument, even though those claims express beliefs and, as a result, purport to report facts and can be evaluated as true or false.
Parameters of angiogenesis were evaluated as above.
For a given object a cedent can be evaluated as 1 (true) or 0 (false).
Thus, the number of FP could not be evaluated, as the true set of insertions present in these reads is unknown.
Accuracy of phasing was evaluated as the R between true known haplotypes of the simulated sires and half-sibs and the haplotypes inferred by the phasing programs, where these haplotypes have binary values (0/1).
GEBV were estimated and the accuracy of the GEBV was evaluated as the correlation between GEBV and true breeding values.
Error was evaluated as the average difference between set and true dimension value (VT, PEEP, pressure support).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com