Sentence examples for biased evaluations from inspiring English sources

Suggestions(1)

"biased evaluations" is a grammatically correct phrase and can be used in written English.
Example: The company's hiring process came under scrutiny when several employees reported experiencing biased evaluations based on their gender.

Exact(10)

Cognitive errors (CEs) reflect individuals' biased evaluations of context-relevant information.

Furthermore, as research becomes more interdisciplinary, the variation of h-index distribution across disciplines must be better understood to prevent biased evaluations.

Given that some of these measures will show consistent or even very similar results, it is important to identify such relations in order to avoid biased evaluations.

Our study clearly shows that this would be very detrimental for at least three reasons: first, EBV of pre-selected bulls would be underestimated; secondly, the resulting bias would be transferred to the rest of the population (e.g., daughters) in an uncontrolled way; and finally, genomic predictions using results from these biased evaluations would be sub-optimal.

In addition, partial-load emission worsening is often overlooked, which could lead to biased evaluations of the energy system environmental performance.

However, less biased evaluations of efforts at rehabilitation might be achieved by personnel standing outside the treatment work itself.

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Similar(50)

It is also worth noting that we do not adopt the widely used measure Mean Absolute Percent Error (MAPE) [62] here, as this measure yields biased evaluation when real value is close to zero [62].

"Motivation and participation are the basis of high-quality results in research — not biased evaluation criteria, job insecurity and glass ceilings," they write.

The prediction accuracies of the built SVR models were examined using 5-fold cross-validation method to avoid the biased evaluation.

Another major drawback of these methods is that they are greatly influenced by the overrepresentation of "hot genes" that are much more studied than other genes, leading to a biased evaluation.

The fact that the first author and principal organiser of the intervention conducted the interviews in phase ll could have biased the evaluations in a positive direction.

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