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In order to adequately deal with a modest set of positive examples, our model utilizes two phases of logistic-regression (Figure 1).
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For example, our model doesn't take "soft skills" into account.
For example, our model does not consider continuing uplift or catastrophic surface processes as they have been recorded in the region.
For example, our model cannot be extrapolated to the c = 0 case, since in this limiting case, our model treats the system as parallel thin films with vanishing separation rather than the bulk material.
For example, our model predicted more than 60% glucose yield can be achieved by treating an equal part blend of energy cane, corn stover, and switchgrass with alkali pretreatment at 120 °C for 14.8 h.
Beyond this specific example, our model might constitute a sound explanation for the generally observed but never explained sigmoidal shape of classical inhibition curves obtained in the presence of linearly increasing antibiotic concentrations.
For example, our model does not consider how cropland pattern and use will respond to climate change, changes in availability of inputs, or changes in technology.
For example, our model is based on a prevailing idea that coccoliths serve as a defensive organ [39], [64], but the exact form of mortality function in nature is still unknown.
For example, our model is useful to understand the optimal substrate utilization during steady-state muscle activity (e.g., running at constant speed) but cannot describe the transitions that occur during its initiation.
For example, our model predicts hyper-phosphorylation of RsbR in the neighbourhood of R3.
For example, our model predicts complete reduction in airway eosinophil count at 600 mg q.i.d.
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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