Confidence Scaling
Confidence Scaling is a metric that quantifies the alignment between predicted confidence scores and empirical accuracy in probabilistic predictions, distinguishing itself by assessing the calibration quality of uncertainty estimates in machine learning models.
16
Publications
795
Citations
35
Authors
18
Institutions
Publications per year
2017–2026
6
Parents
16
Neil Brewer, Amber Keast, Amanda Rishworth · Journal of Experimental Psychology Applied · 2002 · 117 citations
Confidence judgments by humans and rhesus monkeys.
Wendy E. Shields, J. David Smith, Katarína Guttmannova et al. · PubMed · 2005 · 81 citations
1–5 of 16
35
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18

Washington University in St. Louis
St Louis, United States
2 h-index
4 publications
84 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
1 publications
17 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
1 publications
51 citations
University of California, San Francisco
San Francisco, United States
1 h-index
3 publications
42 citations

University of Montana
Missoula, United States
1 h-index
1 publications
81 citations

Flinders University
Adelaide, Australia
1 h-index
3 publications
351 citations
University of New Brunswick
Fredericton, Canada
1 h-index
3 publications
39 citations
Yahoo (United Kingdom)
London, United Kingdom
1 h-index
1 publications
168 citations
1–8 of 18
2 publications · 131 citations
2
h-index
2 publications · 78 citations
2
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2 publications · 56 citations
2
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AJP · 1 publications · 41 citations
1
h-index
NLJ · 1 publications · 14 citations
1
h-index
1–5