The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction

arXiv:2609.01909 · cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Accuracy — 47× in this paper · explained in 1 episode
• AUC — 7× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Ablation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Dobrushin's ergodicity coefficient for Markov operators on cones
• Strong data-processing inequalities for channels and Bayesian networks
• Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data

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