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The Galveston Orientation and Amnesia Test (GOAT) is a measure of attention and orientation, especially to see if a patient has recovered from post-traumatic amnesia (PTA) after a traumatic brain injury. [1] This was the first measure created to test post-traumatic amnesia, and is still the most widely used test. [1]
POLQA covers a model to predict speech quality, [3] [4] by means of digital speech signal analysis. The predictions of those objective measures should come as close as possible to subjective quality scores as obtained in subjective listening tests. Usually, a Mean Opinion Score (MOS) is predicted.
Mean opinion score (MOS) is a measure used in the domain of Quality of Experience and telecommunications engineering, representing overall quality of a stimulus or system. It is the arithmetic mean over all individual "values on a predefined scale that a subject assigns to his opinion of the performance of a system quality". [ 1 ]
Consult the quality scale below; once you have chosen the level that seems to be closest to the article, set the class parameter in the WikiProject banner template to the level's name (omitting "Class" from the end).
Phred quality scores shown on a DNA sequence trace. A Phred quality score is a measure of the quality of the identification of the nucleobases generated by automated DNA sequencing. [1] [2] It was originally developed for the computer program Phred to help in the automation of DNA sequencing in the Human Genome Project.
The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.
GOAT, which stands for "Greatest Of All Time," is the ultimate compliment of all compliments. While the acronym can be applied to describe any Decoded: What GOAT means and how to use it
A health utility value of 1.00 indicates perfect health while a score of 0.00 indicates death. Negative values account for the fact that some health states are identified by the general public as being worse than death. To calculate a health utility score, health states for each response are converted using a look-up table and mathematical formula.