AI-powered data analysis tools have the potential to significantly improve the quality of scientific publications. A new study by Professor Mathias Christmann, a chemistry professor at Freie Universität Berlin, has uncovered shortcomings in chemical publications. Using a Python script developed with the help of modern AI language models, Christmann analyzed more than 3,000 scientific papers published in the organic chemistry journal Organic Letters over the past two years. The analysis revealed that only forty percent of the chemical research papers contained error-free mass measurements.
