human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "share and enjoy publishing useful and usable scientific models"
  Abstract: The reproduction and replication of reported scientific results is a hot topic within the academic community. The retraction of numerous studies from a wide range of disciplines, from climate science to bioscience, has drawn the focus of many commentators, but there exists a wider socio-cultural problem that pervades the scientific community. Sharing code, data and models often requires extra effort; this is currently seen as a significant overhead that may not be worth the time investment. #R##N#Automated systems, which allow easy reproduction of results, offer the potential to incentivise a culture change and drive the adoption of new techniques to improve the efficiency of scientific exploration. In this paper, we discuss the value of improved access and sharing of the two key types of results arising from work done in the computational sciences: models and algorithms. We propose the development of an integrated cloud-based system underpinning computational science, linking together software and data repositories, toolchains, workflows and outputs, providing a seamless automated infrastructure for the verification and validation of scientific models and in particular, performance benchmarks.

Connected through hyperedge HE-1 (induced by source paper "ciw an open source discrete event simulation library"):
  with members:
    - "re run repeat reproduce reuse replicate transforming code into scientific contributions"
    - "top tips to make your research irreproducible"
    - "best practices for scientific computing"
    - "the numpy array a structure for efficient numerical computation"

Connected through hyperedge HE-2 (induced by source paper "an open framework for the reproducible study of the iterated prisoner s dilemma"):
  with members:
    - "top tips to make your research irreproducible"
    - "building a framework for predictive science"
    - "on some winning strategies for the iterated prisoner s dilemma or mr nice guy and the cosa nostra"

Connected through hyperedge HE-3 (induced by source paper "reproducibility as a technical specification"):
  with members:
    - "towards reproducibility as a service"
    - "top tips to make your research irreproducible"
    - "community driven reviewing and validation of publications"
    - "can i implement your algorithm a model for reproducible research software"
    - "best practices for scientific computing"
    - "case studies and challenges in reproducibility in the computational sciences"
    - "the recomputation manifesto"

Connected through hyperedge HE-4 (induced by source paper "dear cav we need to talk about reproducibility"):
  with members:
    - "community driven reviewing and validation of publications"
    - "can i implement your algorithm a model for reproducible research software"
    - "case studies and challenges in reproducibility in the computational sciences"

Connected through hyperedge HE-5 (induced by source paper "top tips to make your research irreproducible"):
  with members:
    - "can i implement your algorithm a model for reproducible research software"
    - "best practices for scientific computing"
    - "the recomputation manifesto"

Question: Please tell me which class the center node 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)