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The read-out we got from this tool was for example, as follows: 30% of the sites in a gene fits rate category M1 while 50% of the gene fits category M2.
A player who presents twice with this injury will fit category 5. Category 6 is easier to define and would include cases such as a player who sustains a fracture from a direct blow in one season and then fully recovers but sustains a similar fracture in the following season; this clearly fits category 6 rather than categories 7 10.
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Then there are works that don't fit categories at all, trading in seemingly useless facts.
Almost three-fourths (74.8%) of all participants were in the fit category for cardiorespiratory fitness.
And then I thought, If neither category fits, eliminate the categories.
Igawa fits neither category.
Apple fits this category.
Ellen DeGeneres easily fits this category.
"He fits that category for us".
And Dazed certainly fits that category.
Nobody I know fits this category.
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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