This repository contains supporting materials for "Widespread use of National Academies consensus reports by the American public." This includes (1) a table providing detailed information on each category into which comments left on NASEM reports were classified; (2) Python scripts for BERT implementation and associated *yml file; (3) BERT output files and model weights for 6-category and 64-category classification of user comments. This includes a compressed file containing the necessary: *.json, *.bin and vocab.txt files to use model weights for scientific replication. The specific file names are: config.json, special_tokens_map.json, tokenizer_config.json, vocab.txt, pytorch_model.bin