Fig. 1
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Concept bottleneck model architecture for variable star classification. Input features pass through a 12-dimensional concept bottleneck of named physical quantities before reaching the label predictor. The concept layer enables expert intervention: astronomers can inspect and correct individual concept values (dashed arrow) to immediately observe the effect on classification.
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