Summary
The interpretation for the Dice's similarity metrics seems to be: "Do voxels that strongly express component c also show strong TE-dependent (or TE-independent) evidence for that component?" Higher similarity between the component weight map and the TE-dependence F map indicates that the component is more likely to reflect a TE-dependent signal.
The Dice measures are strongly dependent on the thresholds used for each of the maps. Spearman's rho might be a good alternative that works on the unthresholded maps.
Related to #1337, wherein I was seeing that switching from unstandardized parameter estimates to standardized parameter estimates dramatically reduced the Dice values. This was expected, because the unstandardized parameter estimates confound component signal strength and the scale of the raw data, but it also means that the Dice values aren't very useful anymore (i.e., they mostly end up being zeroes).
Summary
The interpretation for the Dice's similarity metrics seems to be: "Do voxels that strongly express component c also show strong TE-dependent (or TE-independent) evidence for that component?" Higher similarity between the component weight map and the TE-dependence F map indicates that the component is more likely to reflect a TE-dependent signal.
The Dice measures are strongly dependent on the thresholds used for each of the maps. Spearman's rho might be a good alternative that works on the unthresholded maps.
Related to #1337, wherein I was seeing that switching from unstandardized parameter estimates to standardized parameter estimates dramatically reduced the Dice values. This was expected, because the unstandardized parameter estimates confound component signal strength and the scale of the raw data, but it also means that the Dice values aren't very useful anymore (i.e., they mostly end up being zeroes).