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Taxonomic OTU assignments were accomplished by Ribosomal Database Project (RDP) Classifier with a minimum confidence of 80% (Caporaso et al. 2010).
Peptides selected for N-glycosite analyses had a minimum confidence of 95%%.
STRING's overall score with a minimum confidence of 0.7 is used as the measure of association.
STITC Hs overall score with a minimum confidence of 0.7 is used as the measure of association.
Protein identification was done using a set of pre-defined filters and a minimum confidence of 95%.
SNPs and insertions or deletions (InDels) were called with the haplotype caller with a minimum confidence of 20.
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Table 3 shows the (RT_1 ), (RT_2 ) running time ratios (average on different minimum confidences) of two post-processing methods compared with our method for each (DB, MS) pair.
This study is concerned with a reliability-based calibration of the necessary minimum confidence for such estimation.
We developed a statistical way, based on the concept of confidence interval, to determine the minimum support and minimum confidence for mining association relationships among items.
In this paper, we propose a statistical way based on the concept of confidence interval and hypothesis testing to determine the minimum support and the minimum confidence for an association rule.
In the first part, a χ test with a minimum confidence level of p < 0.05 was used to establish the existence of associations for each variable and health service utilization.
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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.

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