DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Solomon, T. P. J., and 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 (9th ed.) Citation

Solomon, T. P. J., and 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.