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. 2014 May;26(100):13–23. doi: 10.1016/j.concog.2014.02.002

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© 2014 The Authors

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

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Fig. 7 — The effect of normalising confidence estimates depended on the similarity of dyad members’ sensitivities. The x-axis shows the ratio of dyad members’ sensitivities (S_min/S_max), with values near one corresponding to dyad members of nearly equal sensitivity. The y-axis shows the ratio of the sensitivity of the MCS algorithm using normalised confidence estimates relative to that of the MCS algorithm using raw confidence estimates (S_MCS/S_rawMCS), with values above the horizontal line indicating a relative benefit for normalising confidence estimates.