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可重复性的基本原则。

The fundamental principles of reproducibility.

机构信息

Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.

TrønderEnergi AS, Trondheim, Norway.

出版信息

Philos Trans A Math Phys Eng Sci. 2021 May 17;379(2197):20200210. doi: 10.1098/rsta.2020.0210. Epub 2021 Mar 29.

Abstract

Reproducibility is a confused terminology. In this paper, I take a fundamental view on reproducibility rooted in the scientific method. The scientific method is analysed and characterized in order to develop the terminology required to define reproducibility. Furthermore, the literature on reproducibility and replication is surveyed, and experiments are modelled as tasks and problem solving methods. Machine learning is used to exemplify the described approach. Based on the analysis, reproducibility is defined and three different degrees of reproducibility as well as four types of reproducibility are specified. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification '.

摘要

可重复性是一个混淆的术语。在本文中,我从科学方法的基础观点出发,对可重复性进行了根本性的探讨。为了定义可重复性,对科学方法进行了分析和特征描述。此外,还对可重复性和复制的文献进行了调查,并将实验建模为任务和问题解决方法。机器学习被用来举例说明所描述的方法。基于分析,定义了可重复性,并指定了三种不同程度的可重复性和四种类型的可重复性。本文是“计算科学中的可靠性和可重复性:实施验证、确认和不确定性量化”主题问题的一部分。

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