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. 2020 Sep 8;7:293. doi: 10.1038/s41597-020-00630-y

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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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Fig. 4 — Heatmaps of inter-rater reliabilities measured with Krippendorff’s alpha. External annotations were aggregated by majority voting. The first 4 rows of each heatmap show alpha coefficients across four different combinations of annotation perspectives: (1) SP = self vs. partner, (2) SE = self vs. external, (3) PE = partner vs. external, and (4) All = self vs. partner vs. external, while the last row (Diff [SE - SP]) shows the difference between self vs. external agreement and self vs. partner agreement. The columns show those for each participant.