Table 4 uses kappa scores to measure the agreement between FactBank and our annotations on this 500-sentence subset of the data. We treat FactBank as one annotator and our collective Turkers as a second annotator, with the majority label the correct one for that annotator. What we see is modest to very high agreement for all the categories except Uu. The agreement level is also relatively low for CT+. The corresponding confusion matrix in Table 5 helps explicate these numbers. The Uu category is used much more often in FactBank than by Turkers, and the dominant alternative choice for the Turkers was CT+. Thus, the low score for Uu also effectively drops the score for CT+. The question is why this contrast exists. In other words, why do Turkers choose CT+ where FactBank says Uu?