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The details of this prediction will be explained in Section 2.2.
This prediction will be tested using a molecular clock approach.
This prediction will be confirmed by further analysis.
This prediction will be tested through phylogeographical analyses of multiple a priori migration models.
This prediction will be done as follows: for example a woman starts cycling at a low work rate of 50 watt with a pedal rate at 50 rpm.
If the variation within an age band is large relative to variation between age bands, then this prediction will be poor, even if developmental trends are evident in the grand averages.
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Making this exploration knowing that the prediction will be confirmed only in one case out of three is completely unacceptable.
After that, the prediction will be done for each chain.
As long as there are more correct classifiers than incorrect, then the prediction will be accurate.
Our evaluation of the prediction will be based on our experimental observations and related studies.
If this inversion is imperfect, then the predictions will be incorrect, a fact that might underlie some anomalies of appetitive choice [Kahneman and Tversky, 1979].
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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