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. 2022 Mar 28;12:5259. doi: 10.1038/s41598-022-08972-w

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© The Author(s) 2022, corrected publication 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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(A) Scatter plot of CBA against CRL. The distribution of each sample data has a high degree of variability. An approximate curve or line cannot be applied because of a low coefficient of determination for this scatter plot. (B) The mean and SD of CBA in both Diewert’s and our study are shown in the graph based on Table 4A. Our result shows an acute increment of CBA at CS21, whereas Diewert’s result shows flattening after CS20. Comparing only our present results in the two graphs, an acute increment of CBA at CS21 (B) fades away when it is against CRL (A). CBA, cranial base angle; CRL, crown-rump length; CS, Carnegie stage; SD, standard deviation.