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The 50 heptatonic scales with the highest mean percentage similarity among the >4×107 possible scales evaluated are shown in Table 3.
The pre-defined segments evaluated are shown in Table 3.
The accessions evaluated are shown in Figure 1.
The univariate ROC curve analyses for each of the variables evaluated are shown in Table 3.
The highest precisons for each MIPS category in each dataset evaluated are shown in bold.
Measures of performance for the different tests evaluated are shown in Table 1.
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The pH of the four adhesives evaluated is shown in Table 1.
The analysis routine we developed is shown in Figure 1, and a linkage determination flow diagram for the pairs evaluated is shown in Supplementary Figure S1.
A map of LD in the control population across the 10 SNPs evaluated is shown in Additional file 1.
A summary of the number of components sampled and evaluated is shown in table 2. The overall adherence, competence and impression scores are shown in table 3.
A summary of the results from the comparison between model prediction and experimental up- and down-regulation for all five different knockouts evaluated is shown in Table 1.
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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