Figure 2.
The GZ CEERS featured vote fraction, $p_{\rm {feat, GZ}}$, against the expert featured vote fractions from F23, $p_{\rm {feat, F23}}$, shown with the grey crosses (an increase in black saturation indicates an overlap of many objects). Note that if one/two authors classified a galaxy as unclassifiable, $p_{\rm {feat, F23}}$ were calculated with only five/four author votes by F23. The dashed grey line shows a 1:1 comparison. The red circles show the mean disc vote fraction from F23 in equal sized bins of GZ CEERS featured vote fraction (i.e. binned on the x-axis). The blue circles show the mean GZ CEERS featured vote fraction in equal sized bins of disc vote fraction from F23 (i.e. binned on the y-axis). The uncertainties on the mean values are the range of means found during 1000 bootstrap iterations recalculating with a random selection of 90 per cent of the sample in each bin. This figure shows how the GZ volunteers are less likely to classify a galaxy as featured than F23 and are more ‘pessimistic’ with their classifications.

The GZ CEERS featured vote fraction, |$p_{\rm {feat, GZ}}$|⁠, against the expert featured vote fractions from F23, |$p_{\rm {feat, F23}}$|⁠, shown with the grey crosses (an increase in black saturation indicates an overlap of many objects). Note that if one/two authors classified a galaxy as unclassifiable, |$p_{\rm {feat, F23}}$| were calculated with only five/four author votes by F23. The dashed grey line shows a 1:1 comparison. The red circles show the mean disc vote fraction from F23 in equal sized bins of GZ CEERS featured vote fraction (i.e. binned on the x-axis). The blue circles show the mean GZ CEERS featured vote fraction in equal sized bins of disc vote fraction from F23 (i.e. binned on the y-axis). The uncertainties on the mean values are the range of means found during 1000 bootstrap iterations recalculating with a random selection of 90 per cent of the sample in each bin. This figure shows how the GZ volunteers are less likely to classify a galaxy as featured than F23 and are more ‘pessimistic’ with their classifications.

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