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ssi-reproducibility
当需要为投往《中国科学:信息科学》(Scientia Sinica Informationis, SSI) 的稿件保证实验可重复、结果可复现,并撰写数据/代码可用性叙述时调用。覆盖实验环境与来源固定(数据集版本、工具链、随机种子、硬件平台)、仿真与实测/硅后结果的区分、统计报告与随机性控制、跨子学科(计算机/控制/通信/微电子)的可复现要点,以及诚实的可用性声明。作为国家级大信息学科综合旗舰,本刊强调科学价值与可信证据,与英文姊妹刊 Science China Information Sciences 的开放科学精神一致。
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# 《中国科学:信息科学》可复现性与实验可重复(Reproducibility)
《中国科学:信息科学》(SCIENTIA SINICA Informationis, SSI) 以刊载信息科学领域最高水平的
中文原创成果为目标,审稿强调**科学价值与创新高度**,而这必须建立在**可信、可复现**的证据上。
本技能帮助你在实验开展与稿件撰写时,把"别人能否重复出你的结果"这件事前置处理——
很多可复现性问题在数据采集或实验设计时不做记录,投稿时便无法补救。
## 一、可复现的三个层次
1. **可重复(repeatable)**:同一团队、同一环境重跑得到一致结果。
2. **可复现(reproducible)**:他人用你提供的代码/数据/说明能重现主结果。
3. **可推广(replicable)**:他人在新数据/新平台上得到一致结论(更高标准)。
SSI 论文至少应做到前两层,并对第三层的边界(外部效度)诚实说明。