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Discover LudwigThe phrase "asterisk level" is correct and usable in written English.
It can be used in contexts where you are referring to a specific level or category that is denoted by an asterisk, often in grading systems or classifications.
Example: "The report was evaluated at the asterisk level, indicating it met the minimum requirements for approval."
Alternatives: "star rating" or "asterisk category.".
Exact(1)
But in the various elections that have now been held, he has barely risen in the standings above the asterisk level.
Similar(59)
In control guts (I ), precursor cells exhibit high (arrows) and low (asterisks) levels of pMad staining in pairs.
Asterisks represent level of significance when treatments are compared with induction (I) or control (C) treatments: n.s.s
Asterisks indicate level of significance where: *, p<0.05; and **, p<0.01.
Asterisks showed level of statistical significance: * P < 0.05; P < 0.01; *** P < 0.001 compared with control.
Asterisks denote level of significance - ***, ** and * denote significance at the 1%, 5% and 10% level of significance respectively.
Data are reported ±s.e.m., and asterisks depict level of statistical significance as follows: * P≤0.05, ** P≤0.01 and *** P≤0.001.
Asterisks indicate level of significance of the marginal effects compared to the reference category (*p < 0.05, **p < 0.01).
Figures in brackets are standard errors: Asterisks denote level of significance -***, ** and * denote significance at 1%, 5% and 10% level of significance respectively.
Results by occupational social class did not show a clear pattern by age groups for any of the oral health outcomes.> -wrap-foot>> -wrap-foot>> -wrap-foot> Asterindicateicate level of significance of the marginal effects compared to the reference category (*p < 0.05, **p < 0.01).
Among edentate participants, analyses indicated non-significant differences in the predicted probabilities of oral health outcomes by all SEP indicators (results not shown).> -wrap-foot> Asterindicateicate level of significance of the marginal effects compared to the reference category (*p < 0.05, **p < 0.01).
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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