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Unsupervised case looking at number of light curves promoted to possible transit status #3

@mschwamb

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@mschwamb

Coming up with some metric (I used a s_i(transit) = sum of weights of users who marked a transit/sum of weights of all users who classified the light curve) and cut at 0.5 to identify. I plot that distribution in Figure 6 of Schwamb et al 2012 for current cases you've run (unsupervised quarter 1).
screen shot 2014-04-30 at 1 13 11 pm

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