Pooled Bayesian priors, distributions, and calibration across the MES corpus — slice by parameter and system class.
PyMC hierarchical prior, μ with 95% CI per system class
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corpus percentile spread
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out-of-sample 95% CI coverage · v2 trust
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within-paper β (slope) and transfer between system classes
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