Performance of the baseline and best-performing TAG models, both separately and in combination. TAG justifications of different short lengths were found to best combine in single classifiers (denoted with a +), where models that combine the CR baseline or long (3G) TAG justifications best combined using voting ensembles (denoted with a ∪). Bold font indicates the best score in a given column for each model group. Asterisks indicate that a score is significantly better than the highest-performing baseline model (* signifies p < 0.05, ** signifies p < 0.01). The dagger indicates that a score is significantly higher than the score in the line number indicated in superscript (p < 0.01). All significance tests were implemented using one-tailed non-parametric bootstrap resampling using 10,000 iterations.