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We define four levels of calibration and describe implications for model development and external validation of predictions.
Forecasting health: data needs and implications for model structure.
These bounds carry observable implications for model parameters which generally result in set identification.
In this context, we fit the models to previously published experimental data and discuss implications for model testing, model selection, and experimental work.
Here we fit our models to previously published experimental data and discuss implications for model validation, model selection, and further experimental work.
Moreover, this variation has major implications for model system biologists that work with a single genetic strain.
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Disequilibrium melting during crustal anatexis and implications for modeling open magmatic systems.
Implications for modeling of atmospheric chemistry will be sketched.
This is a conceptual gap with important implications for models of visual recognition.
The Morton-Massaro law of information integration: Implications for models of perception.
Kahn, I., Davachi, L. & Wagner, A. D. Functional-neuroanatomic correlates of recollection: implications for models of recognition memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com