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The data worth analysis is extended to account for non-uniqueness of model parameters by null-space Monte Carlo sampling. Data worth estimates of the surrogates and the benchmark suggest good agreement for both surrogates in estimating worth of existing data. The structural simplification surrogate only partially reproduces the worth of "additional" data and is unable to estimate "parametric" data, while the POD model is in agreement with the complex benchmark for both "additional" and "parametric" data. The variance of the POD data worth
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