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jcrd-experiments

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在为《计算机研究与发展》(Journal of Computer Research and Development, JCRD) 稿件设计与呈现实验时调用。覆盖研究问题到证据的匹配、公开数据集与真实系统的选择、可信基线与公平对比、评价指标与统计显著性、消融与敏感性分析、真实平台的性能能效度量、大模型/挖掘类研究的防污染与来源钉死、以及图表与结果呈现规范。适用于把一份计算机学科的中文稿件的实验部分做到能经受本刊双盲外审审视、证据充分且可复现的场景。

Journal-of-Computer-Research-and-Development-Skills/skills/jcrd-experiments/SKILL.md

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# 《计算机研究与发展》实验设计与呈现 (JCRD Experiments)

本技能帮助为《计算机研究与发展》(Journal of Computer Research and Development, JCRD) 稿件设计与
呈现**实验**。JCRD 走**双盲多轮同行评审**，外审专家审视实验的**充分性、公平性与可复现性**。原则
一句话：**让证据匹配论断的形态**——你声称什么，就用相应证据支撑什么，不多不少。

## 一、研究问题到证据

- 先把贡献拆成**可检验的研究问题 (RQ)**，每个 RQ 对应一组实验与一个结论。
- 每个论断都要有证据；反之，每组实验都要服务某个论断，避免「为做而做」的堆砌。

## 二、数据集与真实系统

- 优先**公开数据集**（利于复现与对比）；自建数据给构建/清洗脚本与统计描述。
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