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To validate the effectiveness of predicting using MeSHOP similarity, we generated predictions using archived versions of all the datasets (MEDLINE® and Entrez Gene), involving data up to 2007.
These findings are consistent with a generic role for the basal ganglia in internally generated predictions.
Finally, responses to stimulus differences fit well conceptually with predictive coding principles, proposing that deviations from cortically generated predictions are propagated up the visual hierarchy as error signals (Friston 2005; Garrido et al. 2009).
In addition we generated predictions for an additional 20 compounds for which targets were either known or unknown [30].
For each dataset we generated predictions using two algorithms, Fpocket and ConCavity, which we use as model examples in our re-ranking experiments.
Several metrics have been developed to compare the performance of the models in terms of accuracy of the generated predictions [29].
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The generated prediction model yielded correlation coefficients of 0.98 and 0.92 for training and testing data sets, respectively.
Once dropped into our device we can always be occupied, and before we can tire of what is on the screen computer generated prediction algorithms recommend new content they know we will like.
These models generated prediction output values ranging from 0 to 1, representing highest to lowest risk, respectively.
We generated prediction models empirically.
The in silico generated prediction score, as outlined in the results and methods sections, also has its limitations.
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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