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  People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors

Rebitschek, F. G., Gigerenzer, G., & Wagner, G. G. (2021). People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors. Scientific Reports, 11: 20171. doi:10.1038/s41598-021-99802-y.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-383B-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-5A6F-7
Genre: Journal Article

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s41598-021-99802-y.pdf (Publisher version), 2MB
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https://doi.org/10.1038/s41598-021-99802-y (Publisher version)
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 Creators:
Rebitschek, Felix G.1, Author           
Gigerenzer, Gerd1, Author           
Wagner, Gert G.1, Author           
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1Max Planck Institute for Human Development, Max Planck Society, ou_2074284              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-021-99802-y
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Title: Scientific Reports
Source Genre: Journal
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Pages: - Volume / Issue: 11 Sequence Number: 20171 Start / End Page: - Identifier: -