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A data scientist runs 40 training experiments over a week, varying learning rate and batch size each time. She saves results in a spreadsheet. Two weeks later, she cannot reproduce the best result because she is unsure which Python script version and dataset version were used. Which MLflow concept directly addresses this reproducibility gap?
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