Solomon, T. P. J. & Laye, M. J. (2025). The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability. PLOS ONE, 20 (6), e0325982. Zugriff am 01.08.2025 unter https://doi.org/10.1371/journal.pone.0325982
APA-Zitierstil (7. Ausg.)Solomon, T. P. J., & Laye, M. J. (2025). The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability. PLOS ONE, 20(6), e0325982.
Chicago-Zitierstil (17. Ausg.)Solomon, T. P. J., und M. J. Laye. "The Sports Nutrition Knowledge of Large Language Model (LLM) Artificial Intelligence (AI) Chatbots: An Assessment of Accuracy, Completeness, Clarity, Quality of Evidence, and Test-retest Reliability." PLOS ONE 20, no. 6 (2025): e0325982.
MLA-Zitierstil (9. Ausg.)Solomon, T. P. J., und M. J. Laye. "The Sports Nutrition Knowledge of Large Language Model (LLM) Artificial Intelligence (AI) Chatbots: An Assessment of Accuracy, Completeness, Clarity, Quality of Evidence, and Test-retest Reliability." PLOS ONE, vol. 20, no. 6, 2025, p. e0325982.