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Sensitivity to neighborhood scale is enhanced through disaggregation of the modeled outcomes in three key dimensions: purpose, time, and space.
Therefore, in order to prevent data leakage threats to privacy, the security policy should include the following two dimensions: Purpose determines the reasons for data to be collected or used.
Walshe et al. [ 5] described proposed approaches to external inspections using the following dimensions: purpose, organization, overall approach, methods, and results.
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It was agreed that this should contain 25 items in four dimensions: Purposes, Ease of Use, Content and Pedagogy (Table 5).
These are: (1) Dimension Title, (2) Dimension Purpose, (3) Dimension Gap-Back-ground, and (4) Dimension Linearity-break.
This new module is based on three out of the four dimensions presented in the previous section, namely: dimension Title, dimension Purpose, and dimension Gap-Background.
Similarly, feature 12 was added to the basic pool of features when inducing the classifiers for dimension Purpose.
Since the dimension Purpose applies to sentences from three different rhetorical categories Result, Methodology and Conclusion different experiments were carried out to induce each classifier.
Using the annotation presented in Sect. 3 and the set of features extracted from the corpus, we have generated and evaluated five classifiers: one for dimension Title, three for dimension Purpose [ namely, Purpose (M); Purpose (R), and Purpose (C ], and, finally, one classifier for dimension Gap-Background.
CAM comprises a base of coherence suggestions, a set of coherence classifiers (as previously mentioned, one for dimension Title, three for dimension Purpose, and one for dimension Gap-Background), and a coherence advisor, which selects the appropriate suggestion(s) based on potential coherence problems.
In both Tables 7 and 8, high and low classes refer to the classifiers of dimensions Title, Purpose (M), Purpose (R), and Purpose (C), while classes yes and no refer to the classifier of dimension Gap-Background.
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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