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The phrase "accuracy of extraction" is correct and usable in written English.
It can be used in contexts where you are discussing the precision or correctness of a process that involves extracting data, information, or materials.
Example: "The accuracy of extraction is crucial for ensuring the reliability of the research findings."
Alternatives: "precision of extraction" or "correctness of extraction".
Exact(6)
By itself, the color encoding has a poor perceptual accuracy of extraction.
The experimental results show that the accuracy of extraction is no less than 90% when attenuation is greater than 0.45.
Therefore, the shadows must be eliminated to ensure the accuracy of extraction results.
As shown in Figure 4, the existing of shadows seriously affects the accuracy of extraction, though the moving object keeps itself integrated.
The accuracy of extraction of frequency and mode shape also depends on the signal-to-noise ratio (Alampalli et al. 1997).
To verify accuracy of extraction, a second and a third reviewer (TW, GS) checked all relevant data for each included SR and primary study.
Similar(54)
Team members checked the accuracy of extractions and discrepancies were resolved through discussion leading to consensus.
A second investigator will validate completeness and accuracy of data extraction by checking 20% of extracted patient data.
The data extraction was undertaken by JS and the accuracy of data extraction from the papers was determined by a second author (HP) independently checking the summary statistics used to derive the effect sizes for each study.
All data extraction will be checked by another reviewer (EM) who will critically examine the extraction performed by JR by checking the accuracy of data extraction, including review characteristics (eg, author, reference, aims and objectives, setting, number and type of primary studies included in the review), and the data extracted on barriers and facilitators.
In reference [22], to address low efficiency and poor accuracy of keyword extraction of traditional TF-IDF (term frequency-inverse document frequency) algorithm, a text keyword extraction method based on word frequency statistics is put forward.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com