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Hundreds of companies use real-time Twitter data as an input into ranking, ad targeting, or other aspects of enhancing their own core products.
The top ranking ad (Toxic fat), performed comparatively more strongly on each outcome compared to each of the ads featuring depicted scenes (Piece of string, Full Monty, Correctly identified and Why am I fat).
The POG values for the 100 top-ranked genes among six test sites are shown in Table 3. Recall that the MAQC study reports that a FC-based gene ranking (AD) generates more reproducible results compared to those gained from a t-statistic-based gene ranking such as samT [ 9] when the POG metric is used [ 21].
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Nor do they rank ad networks.
They got ranked ad hoc, based on a mixture of the immediate appearance of the cards and the length of service of the player revealing the cards, multiplied by the incipient brutality of the assembled team.
This underlies the rationale to use the combined occurrence of low HDL-C and high TG as dichotomic variable in order to assess AD prevalence in a population, while the log TG /HDL-C appears more appropriate to rank AD severity as a continuous variablog TG /HDL-C individuappears].
Over time, the company also looked beyond click-through rates to rank ads.
It ranks ads on a mix of bid prices and relevancy to the user.
Overture ranked ads based on how much advertisers were willing to bid for a certain keyword.
Google also ranks ads by how popular they are, measured by the click-through rate.
So Google decided to rank ads based on a combination of bid price and "click-through rate," the frequency with which users click on a given ad.
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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