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. 2020 Oct 27;11:5418. doi: 10.1038/s41467-020-18946-z

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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. 3 — a Experiment web interface for our human categorization task. Participants categorized each image from an order-randomized circular array of the CIFAR-10 labels. b Examples of images and their human guess proportions. For many images (upper plane and cat), choices are unambiguous, matching the CIFAR-10 labels. For others (lower boat and bird), humans are far less certain. b The number of images by the entropy of their associated human guess distributions (less entropy means humans had greater consensus). d The confusion matrix for categories across all human judgments. Source data are provided as a Source Data file.