To further understand how the fine-tuned model performs in extracting different types of chemical information, the completions are examined with finer granularity at the leaf level (Evaluation Metric 2), as shown in Table . The fine-tuned model shows excellent recognition capability for chemical entities such as compound identifiers (accuracy 93.47%) and amounts (95.21%), and it can infer reaction roles that are usually not explicitly stated in procedure texts (section 3.3). Errors at the fieldlevel mainly come from implicit information in ProductCompound messages, such as calculated yields (Table ).