human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "reproducibility as a technical specification"):
  Abstract: Reproducibility of computationally-derived sci- entific discoveries should be a certainty. As the product of several person-years' worth of effort, results - whether disseminated through academic journals, conferences or exploited through commercial ventures - should at some level be expected to be repeatable by other researchers. While this stance may appear to be obvious and trivial, a variety of factors often stand in the way of making it commonplace. Whilst there has been detailed cross-disciplinary discussions of the various social, cultural and ideological drivers and (potential) solutions, one factor which has had less focus is the concept of reproducibility as a technical challenge. Specifically, that the definition of an unambiguous and measurable standard of reproducibility would offer a significant benefit to the wider computational science community. In this paper, we propose a technical specification for a service for reproducibility, presenting cyberinfrastructure and associated workflow for a service which would enable such a specification to be verified and validated. In addition to addressing a pressing need for the scientific community, we further speculate on the potential contribution to the wider software development community of services which automate de novo compilation and testing of code from source. We illustrate our proposed specification and workflow by using the BioModelAnalyzer tool as a running example.

Includes members:
  Member "towards reproducibility as a service":
    also connected through other hyperedges:
      (none)
  Member "top tips to make your research irreproducible":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ciw an open source discrete event simulation library")
  Member "community driven reviewing and validation of publications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a collective knowledge workflow for collaborative research into multi objective autotuning and machine learning techniques")
  Member "can i implement your algorithm a model for reproducible research software":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modelling and analysing behaviours and emotions via complex user interactions")
  Member "share and enjoy publishing useful and usable scientific models":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "ciw an open source discrete event simulation library")
  Member "best practices for scientific computing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "gpu computing with python performance energy efficiency and usability")
  Member "case studies and challenges in reproducibility in the computational sciences":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dear cav we need to talk about reproducibility")
  Member "the recomputation manifesto":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "frustrated with replicating claims of a shared model a solution")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CE(Computational Engineering, Finance, and Science)