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Calibration Data for Choice Prediction Competition 2018 (CPC18)

<p>These are the complete raw data for the Calibration Set of a choice prediction competition for decisions under risk, under ambiguity, and from experience (titled CPC18), organized by the authors and their colleagues. The data includes 510,750 consequential choices of human decision makers choosing&nbsp;between two risky and/or uncertain prospects with up to 10 possible outcomes each.</p> <p>Part of these data (published herein at:&nbsp;https://zenodo.org/record/321652#.WZlniSgjE2z) were previously used in CPC15 (a previous choice prediction competition), and are described in the paper:&nbsp;Erev, I., Ert, E., Plonsky, O., Cohen, D., &amp; Cohen, O. (2017).&nbsp;From anomalies to forecasts: Toward a descriptive model of decision under risk, under ambiguity, and from experience.&nbsp;<em>Psychological Review,</em>&nbsp;124(4), 369-409.<em>&nbsp;</em>DOI: 10.1037/rev0000062&nbsp;&nbsp;</p> <p>More details about the new competition (CPC18)&nbsp;can be found at&nbsp;https://cpc18.wordpress.com/</p> <p>Keywords: Choice between gambles; Decision making; Prospect theory; Decisions from experience; Description-experience gap Decisions under uncertainty</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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