纠正:使用机器学习来理解基于婴儿气质的年龄和性别分类.
PloS one
|December 17, 2024
概括
这项研究纠正了上一篇文章DOI. 校正确保了科学研究的准确引用和检索,以提高可访问性.
科学领域:
- 图书统计学 图书统计学
- 科学出版科学出版
背景情况:
- 准确的引用对于科学完整性至关重要.
- 数字物体识别器 (DOI) 对于定位研究至关重要.
研究的目的:
- 为了纠正一个错误的文章DOI.
- 确保科学文献的正确归因和可访问性.
主要方法:
- 发布了一份纠正通知.
- 数字物体标识符 (DOI) 在出版记录中得到更新.
主要成果:
- 错误的DOI已经被纠正.
- 读者现在可以通过正确的DOI访问预期的文章.
结论:
- 准确的DOI提高了科学出版物的可发现性和可靠性.
- 这种修正方便了正确的引用,并避免了科学记录中的混.
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