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

Authors

35

  1. NB
    Neil Brewer

    Flinders University, Australia

    2 publications · 131 citations

    2

    h-index

  2. ET
    Eylul Tekin

    Washington University in St. Louis, United States

    2 publications · 56 citations

    2

    h-index

  3. HL
    Henry L. Roediger

    Washington University in St. Louis, United States

    2 publications · 56 citations

    2

    h-index

  4. AK
    Amber Keast

    Flinders University, Australia

    2 publications · 131 citations

    2

    h-index

  5. AR
    Amanda Rishworth

    Flinders University, Australia

    2 publications · 131 citations

    2

    h-index

1–5 of 35

Venues

  1. Journal of Experimental Psychology Applied

    2 publications · 131 citations

    2

    h-index

  2. IEEE Access

    2 publications · 78 citations

    2

    h-index

  3. 2

    h-index

  4. The American Journal of Psychology

    AJP · 1 publications · 41 citations

    1

    h-index

  5. Nevada law journal

    NLJ · 1 publications · 14 citations

    1

    h-index

1–5