To what extent can we trust a machine? Establishing trustworthiness guidelines to evaluate machine learning models across chemistry contexts - Research portal of Justus Liebig University Giessen:

Journal article

To what extent can we trust a machine? Establishing trustworthiness guidelines to evaluate machine learning models across chemistry contexts

Authors list: Martin, PP; Dood, A; Watts, F; Shultz, G; Graulich, N

Publication year: 2026

Journal: Journal of Research in Science Teaching

Publisher: Wiley

Authors/Editors

- Uni.-Prof. Dr. Nicole Graulich

Citation Styles

Harvard Citation style: Martin, P., Dood, A., Watts, F., Shultz, G. and Graulich, N. (2026) To what extent can we trust a machine? Establishing trustworthiness guidelines to evaluate machine learning models across chemistry contexts, Journal of Research in Science Teaching

APA Citation style: Martin, P., Dood, A., Watts, F., Shultz, G., & Graulich, N. (2026). To what extent can we trust a machine? Establishing trustworthiness guidelines to evaluate machine learning models across chemistry contexts. Journal of Research in Science Teaching.