Sentence examples similar to hypothetical accuracy from inspiring English sources

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Taking a hypothetical 100%% accuracy for a test would be used to assess changes in outcome by adding this particular test to the medical pathway.

To determine the accuracy of hypothetical proteins, primers were designed to amplify all the predicted gene models by RT-PCR (Additional file 1, Table S3).

Jim Steets, manager of communications for Entergy, said that not only had the company not been asked to comment on the accuracy of the hypothetical situation, but also that those described in the article as nuclear power experts were critics of the industry with their own political agenda.

Hence, when the gold standard is imperfect, even a test (hypothetical scenario) that has an accuracy of 100% may not always yield an AUROC >0.95, given the inherent limitations of the liver biopsy assessment.

An insightful study by Kind and Fiehn(12) demonstrated that if a hypothetical mass spectrometer with an accuracy of 0.1 ppm were available, it would be less successful at identifying unknowns than a mass spectrometer capable of only 3 ppm accuracy, but which was also capable of estimating isotopic ratios with a fixed accuracy of 2%.

By weighting the structure-driven alignments and filtering peptides with behaviors similar to those derived from "hypothetical proteins", we demonstrate that the accuracy of abundance predictions of protein families is dramatically improved.

Even in far less hypothetical recreations like the Rothko murals, however, accuracy is still debatable.

Consequently, the large majority of the predicted protein coding sequences are hypothetical and have a variable degree of accuracy.

For example, utility assessment involving hypothetical health states is limited by the accuracy and level of detail in the health state descriptions.

The hypothetical health state approach is limited by the accuracy and level of detail in the health state descriptions.

As part of their review, the researchers examined the accuracy of stock assessment models by creating hypothetical fish populations, then simulating sampling.

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