Sample-efficient active learning for materials informatics using integrated posterior variance

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Dev tools install asynchronously after container creation. Use --console to wait for them to finish before dropping into a shell, or monitor progress with:

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As a frontier flagship model, it was disappointing. It got no successful outcome. It seemed that it didn't reason thoroughly even though the reasoning was enabled, and the level set to high.

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The third stage