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. 2020 Aug 21;10:14073. doi: 10.1038/s41598-020-69766-6

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© The Author(s) 2020

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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Model fit results for study 2. (A) The summed BIC for each model. (B) The 95%CI of the summed BIC difference between each model pair obtained using bootstrapping. Lower BIC values indicate a better fit. This shows that the Uncertainty model fitted best. (C) The Uncertainty model fit for the positively biased data. The line graphs represent the raw data and SEM, which show that the effect of condition replicates in both biased conditions. Shaded region is the model fit. (D) The Uncertainty model fit for the negatively biased data.