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The phrase "a model that removes" is correct and usable in written English.
It can be used when describing a model or system that eliminates or takes away certain elements or factors.
Example: "We developed a model that removes unnecessary variables to improve the accuracy of our predictions."
Alternatives: "a model that eliminates" or "a model that excludes".
Exact(1)
Our goal is to develop a model that removes some symmetrical solutions obtained by color permutations.
Similar(59)
Parker and her colleagues are weighing up a range of options, but the most likely is a rental model that removes the need for customers to pay up front.
We must embrace a comprehensive public model that removes as many barriers to entry as possible.
We use OECD (Organization for Economic Co-operation anData, World Development IndicatorsDevelopmenthendicators, the World Values Survey, and the European Values Study to fit a difference-in-differences model that removes unobserved cross-national heterogeneity and any period trend that is shared across nations.
Imagine a hypothetical Bayesian multiple bias model that removes all biases completely and take all uncertainties about bias parameters and random error perfectly into account.
In short, (i) we kept the residuals of a mixed model that removed the effects of the family structure using the implementation in GenAbel R package.
Results from models that removed individual activity labels are shown in blue, while results from model that removed whole compounds are shown in red.
Our goal is to develop models that remove some symmetrical solutions obtained by color permutations.
Cost-free, crowd-sourcing models that remove barriers to entry to scientific activities are beginning to develop (Lin 2011).
To facilitate understanding, we summarize two models that remove the constant term as follows: MC model ri, t + 1 = β1bmi, t + β2roei, t + ξi, t + 1 (1).
Results from models that removed individual activity labels are shown in blue, results from models that removed whole compounds are shown in red, and results from models that removed whole assays are shown in green.
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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