Figure 2. Confusion matrix for the fine-tuned (A) SciBERT and (B) Longformer multiclass classification (0=conclusive, 1=inconclusive, and 2= unclear) used to visualize the performance of the conclusiveness classification algorithm (created using the scikit-learn). The confusion matrix evaluates multiclass performance by comparing the predicted classes with the actual classes. The diagonal elements represent the correct predictions.