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

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Every V86 segment gets the same treatment: access rights 0xE200 (Present, DPL=3, writable data segment), base = selector shifted left by 4, and limit = 64 KB. The microcode loops through all six segment register caches using a counter, applying the same fixed descriptor to each one. This is pure real-mode emulation, enforced at ring 3 with full paging protection underneath.

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This is better in that there is far less boilerplate, but it doesn't solve everything. Async iteration was retrofitted onto an API that wasn't designed for it, and it shows. Features like BYOB (bring your own buffer) reads aren't accessible through iteration. The underlying complexity of readers, locks, and controllers are still there, just hidden. When something does go wrong, or when additional features of the API are needed, developers find themselves back in the weeds of the original API, trying to understand why their stream is "locked" or why releaseLock() didn't do what they expected or hunting down bottlenecks in code they don't control.

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