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Scientific models are often expressed as large and complicated programs. These programs embody numerous assumptions made by the developer (e.g., for differential equations, the discretization strategy and resolution). The complexity and pervasiveness of these assumptions means that often the only true description of the model is the software itself. This has led various researchers to call for scientists to publish their source code along with their papers. We argue that this is unlikely to bedoi:10.1016/j.procs.2014.05.064 fatcat:7ndi7kepzbek5gprc6r5tcptvq