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NOTE: Prices per core core listed below depend on number of cores in a server (shown in parenthesis for each type of server).
Table 2 Average performance of the C-CNN, M-CNN, and GTDP methods with respect to manual marking across the confocal validation data set (standard deviations shown in parenthesis).
Table 3 Average performance of the SD-CNN, M-CNN, and AFLD methods with respect to manual marking across the split detector validation data set (standard deviations shown in parenthesis).
Probe IDs are shown in parenthesis.
Clustered standard errors shown in parenthesis.
Confidence intervals are shown in parenthesis.
Note: Pre-fall 2012 course numbers are shown in parenthesis.
Confidence intervals (95%) are shown in parenthesis.
Fold-increase are shown in parenthesis after% increase.
Only includes those HH involved in the activity (standard errors shown in parenthesis).
Also shown in parenthesis are the metrics calculated for the and coefficients in the Solar Magnetic (SM) frame.
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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