Our evaluation method has used only an exact match of chemical structure connectivity tables as a scoring criterion -which is the same as used in the extensive evaluation provided by the MolScribe paper . Other publications have used the same exact prediction and the Tanimoto similarity as an additional metric . SwinOCSR also uses BLEU and ROUGE which are N-gram based precision methods developed for machine translation. OCMR has used the Levenshtein distance between the predicted SMILES string and the ground truth SMILES to quantify the dissimilarity of the predicted SMILES . The use of any such similarity metric like Tanimoto, Levenshtein, BLEU, or ROUGE is in our opinion not useful when one needs to perform a novelty check on a given molecule from any document, since any similar but not exactly the same molecular structure would not affect its novelty.