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csj-reproducibility

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在为《计算机科学》(Computer Science, JSJKX) 提升实验可复现性与可重复性时调用。本刊是计算机全学科中文综合月刊(CCF 会刊、B 类、T2 级)，单盲审稿，未见独立 artifact 徽章制度(待核实)，故复现工作主要服务于让外审专家更快确认方法可信。技能覆盖环境/依赖/随机种子/数据划分固定、数据泄漏与污染防范、复现包结构、外链数据与校验和、可复现性自查清单。适用于让稿件的主结果可被他人从原始数据一键复现、经得起外审追问的场景。

Computer-Science-Journal-Skills/skills/csj-reproducibility/SKILL.md

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# 《计算机科学》可复现性与实验可重复

本技能帮你把《计算机科学》(Computer Science, 简称 JSJKX) 稿件的实验做到**可复现**。本刊为单盲审稿，虽未见
公开的独立 artifact 徽章评审制度（**待核实**，见 `resources/official-source-map.md`），但可复现性直接影响外审
专家对方法可信度的判断，也为录用后可能的补充材料打基础。目标：他人能从原始数据**一键复现**你的主表/主图。

> 提醒：本刊 Computer Science 是**期刊(journal)**，非会议。

## 一、可复现的三个层次

1. **可重复(repeatable)**：你自己在同环境能复现同结果（固定种子/版本）。
2. **可复现(reproducible)**：他人用你的代码+数据能得到一致结果。
3. **可推广(replicable)**：他人用独立实现/新数据能得到一致趋势。
外审最看重前两层，第三层加分。
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