In terms of synthesis parameters, F1-scores and quantity matching were between 60-80% in all cases. These range of scores are slightly lower than previous text-mining efforts, which generally score between 60-98%. We ascribe this relatively low score to more stringent criteria used in this study: as we define true positive to be the successful identification of a PubChem database entry, precision is lowered when cross-referencing fails. This is further exacerbated by the presence of typographical errors and colloquial chemical names which are not recognised by an automated PubChem database search (e.g. 2-methylinidazole or 2-MeIM, rather than 2-methylimidazole). Failure to successfully convert numerical quantities similarly reduced the F1-score during time and temperature parsing.