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Our study advances existing knowledge as it empirically and quantitatively tests the implications of GM OSR production under a wide range of scenarios.
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In imagining what might go wrong if humanity's inventions were to go rogue, fiction performs an essential role, testing the implications of our creations, real and hypothetical.
We have tested the implications of short versus long time horizons for the produced climate services.
Section 3 presents an empirical strategy to test the implications of the theoretical model.
This section presents an empirical strategy used to test the implications of the theoretical model.
We test the implications of ambiguity aversion in a principal agent problem with multiple agents.
Therefore, the results from the empirical model at zero duration of residence are used to test the implications of the theoretical model in the next section.
We then test the implications of the theoretical model using pooled linear probability models and random intercept multilevel models8, accounting for sample selection bias in the mobility equation.
We test the implications of this model using a linkage between Doctors Census data and practices' characteristics from 2003 to 2007.
For instance, Hey and Dardadoni (1988) describe a large-scale experimental investigation to test the implications of expected utility maximization on optimal consumption behavior.
The first step is layoff regression, which tested the implications of Proposition 3. The second step is wage regression, which tested the implications of Propositions 2 and 4. Proposition 3 states that layoffs occur when inequality p 2 2 / 2 − U + C < 0 is satisfied.
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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