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Discover Ludwig"may cause erroneous" is a correct and usable phrase in written English.
You can use it to describe something that can potentially lead to an incorrect result. For example: "The inaccurate measurement of the sample may cause erroneous results."
Exact(11)
Any uncertainties in the chemical or physical composition of the asphalt or in its alteration status may cause erroneous results.
Besides, kr values are calculated by taking numerical derivative of production and pressure data which may cause erroneous results.
This may cause erroneous results in anisotropic formations such as shales which show strength variations with changing loading directions with respect to the plane of weakness.
Since the EOSs have some inherent deficiencies which may cause erroneous predictions, these models have to be tuned against experimental data.
Making clinical decisions to change treatment based on one or another biomarker may cause erroneous initiatives that place patients at risk of undertreating the cancer and poor oncologic efficacy.
False-positive interpretations may cause erroneous diagnoses in individuals and inflate COPD population prevalence rates [ 32].
Similar(49)
Ascorbic acid is a strong reducing agent and can cause erroneous false positive portable glucometer readings.
In dynamic VANET environments, routing algorithms using static parameters can potentially cause erroneous decisions.
Neglecting calibration and maintenance of equipment can cause erroneous outcomes of the measurement [ 10, 20, 21].
Such predictors could potentially cause erroneous subcellular predictions in pairs that have high similarity.
Speculation that the numbers are erroneous may cause futures prices to fall when the weekly report is released today at 10 30 a.m.
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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