As mentioned before, CoMiC-EN performs meaning comparison based on a system of categories while the Texas system is a scoring approach, trying to predict a grade. While the former is a classification task, the latter is better characterized as a regression problem because of the desired numerical outcome. Of course, one could simply pretend that individual grades are classes and treat scoring as a classification task. However, a classification approach has no knowledge of numerical relationships, i.e., it does not 'know' that 4 is a higher grade than 3 and a much higher grade than 1 (assuming a 0-5 scale). As a result, if an evaluation metric such as Pearson correlation is used, classification systems are at a disadvantage because some misclassifications are punished more than others.