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

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The system, designed in Devon by a company called Fishtek Marine, was tested by Swansea University in the Severn Estuary.

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The big finding: Claude Code builds, not buys. Custom/DIY is the most common single label extracted, appearing in 12 of 20 categories (though it spans categories while individual tools are category-specific). When asked “add feature flags,” it builds a config system with env vars and percentage-based rollout instead of recommending LaunchDarkly. When asked “add auth” in Python, it writes JWT + bcrypt from scratch. When it does pick a tool, it picks decisively: GitHub Actions 94%, Stripe 91%, shadcn/ui 90%.,更多细节参见爱思助手下载最新版本

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