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Q. Do you think some kind of test for bias would be helpful?
To test for bias, Zest relies again on machine learning, which the system uses to test its own results.
Test for bias: Make sure to incorporate bias testing into the quality assurance processes of your AI algorithms.
In this paper, we demonstrate how the question can be addressed empirically by conducting a test for bias in a group of stenolaemate bryozoans, the cyclostomes.
And we show these criteria can be used together with a phylogeny and ancestral-state reconstruction methods to test for bias.
Finally, we place the question of bias in a larger context, arguing that the same criteria and methods we employ here can be used to test for bias in other colonial taxa, and also at other hierarchical levels, for example, in the transitions from free-living eukaryotic cells to multicellular organisms.
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We test for biases that result from selectively disclosing information on candidates or parties among voters with different levels of information.
Son PTA adjusted for sire PTA was used as the dependent variable to test for biases and for genes that were passed from sire to daughter but not to son.
Carefully selected ILP sequences for diverse species would achieve high amplification, while a test for biased priming would assist in the design of genotyping probes.
Ideally, we could test for biases by looking at differences in coral cover before and after the establishment of MPAs [20].
Houllier et al. [19] used analytical approaches and stochastic simulations to test for biases resulting from variance of the matrix elements, while Usher [20] derived analytic solutions for both Leslie matrices and more general models.
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