This tests whether simply modeling differences in annotators' error rates, as Raykar et al.
throughout this work the labels we use are taken from the set {"Support Trump / Oppose Clinton" = −1, "Neutral / I don't know" = 0, "Oppose Trump / Support Clinton" = 1}.