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Moving beyond the "loading dock" model of scientific information application, this logic model helps evaluators to address all elements of the provision of climate services – including the quality of weather and climate forecasts and agronomic advisories, the distribution of that information, the uptake of that information, and actions taken by farmers (See Fig. 1).
Thus, we targeted the proximal outcomes of this logic model.
This can be achieved only by greater communication among all the stakeholders described in this logic model.
Nonetheless, this logic model contributes to the literature on comprehensive approaches to improving the use of data in decision making.
Finally, this logic model narrows the focus to only one type of input research and its potential contribution to impacts.
This logic model shows that the process of KT between the broker and users (practitioners, decision-makers, and researchers) includes both planning and KB activities.
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This part of the logic model describes the inputs, activities, outputs, and outcomes directly associated with business and industry.
The clinical components of the intervention consist of many steps described in the logic model developed for this project.
This analysis will also be related to the logic model of the HIA process (Fig.
The manner in which this was carried out was a discussion of the logic model.
Likewise, the logic model is primarily descriptive, not explanatory.
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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