KE, B., JO, W., NJ, J., MR, C., B, C., LL, N., . . . JS, A. (2025). Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance. MedRxiv : the preprint server for health sciences. https://doi.org/10.1101/2025.06.24.25330212
Chicago Style (17th ed.) CitationKE, Brown, Wrenn JO, Jackson NJ, Cauley MR, Collins B, Novak LL, Malin BA, and Ancker JS. "Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance." MedRxiv : The Preprint Server for Health Sciences 2025. https://doi.org/10.1101/2025.06.24.25330212.
MLA (9th ed.) CitationKE, Brown, et al. "Auditor Models to Suppress Poor AI Predictions Can Improve Human-AI Collaborative Performance." MedRxiv : The Preprint Server for Health Sciences, 2025, https://doi.org/10.1101/2025.06.24.25330212.