Uncertainty-aware model ensembles

At DIII-D, retraining cadence beat architecture: 80% less error from a model that keeps learning

A self-updating model of DIII-D's toroidal field coils cut prediction error by 80 percent against a static one. An uncertainty-weighted ensemble on top added about 10 percent more.