General scales unlock AI evaluation with explanatory and predictive power.
Year: 2026
Type: article
Source: Apollo (University of Cambridge)
DOI: 10.17863/cam.128524
Authors: Zhou, Lexin, Pacchiardi, Lorenzo, Martínez-Plumed, Fernando, Collins, Katherine M, Moros-Daval, Yael, Zhang, Seraphina, Zhao, Qinlin, Huang, Yitian, Sun, Luning, Prunty, Jonathan E, Li, Zongqian, Sánchez-García, Pablo, Jiang-Chen, Kexin, Casares, Pablo AM, Zu, Jiyun, Burden, John, Mehrbakhsh, Behzad, Stillwell, David, Cebrian, Manuel, Wang, Jindong, Henderson, Peter, Wu, Sherry Tongshuang, Kyllonen, Patrick C, Cheke, Lucy, Xie, Xing, Hernández-Orallo, José
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7140191808
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