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. 2018 Sep 11;8:13571. doi: 10.1038/s41598-018-31893-6

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Correlations between adaptation effects. Size against numerosity adaptation effects (A) separated into the two adaptation levels (inverted green triangles and upright blue triangles for adaptation to low and high adapters) and (B) for total effect. In all cases those participants (single symbols) having higher size adaptation are not those also showing stronger numerosity adaptation. (C) Overall frequency distribution of Log Bayes Factors measured for zero-order correlations reveals that is much more probable that the correlation does not exists (LBF < 0.5). Lines are best fitting linear regression fits, “r” reports Pearson zero-order correlation coefficients, “r_p” reports Pearson partial correlation with chronological age controlled for, LBF are Log Bayes factors.