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Expected precision and AUPRC from random guessing is 0.0380.
We used two methods which provided the same results within expected precision and experimental error.
This is consistent with the idea that the mechanism modulating the gain of prediction error (i.e. attention) operates through inference about expected precision and increases gain for predicted input.
Because perceptual inference is not only occupied with making inferences about the content of the prediction errors, but also about their expected precision, and the expected precision is directly related to the gain of the feedforward signals, i.e. to attentional modulation.
We use a leave-one-out cross-validation to estimate the expected precision and recall of function prediction using (a) only orthology within CCS, (b) only neighbors within CCS, and (c) the combination of both methods.
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Some of these people are scientists, from whom we expect precision and fidelity to the operational implications of definitions.
The magnitude of BMD loss in pregnancy has been estimated to be in the range of 5 6%, and should thus exceed the expected precision error and the minimal significant measurable differences of these systems.
As for all expectations, expected precision maximises Bayesian model evidence (see Appendix).
Here, we focused on choice conflict and confidence, measured as the entropy over alternative choices (wait vs. accept) and expected precision, respectively.
With an alpha risk of 5% and an expected precision of 2.5%, the number of patients needed was 1,536 and therefore 768 practitioners (who would each recruit 2 patients).
What are the validity and the expected precision of the obtained data?
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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