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: "top tips to make your research irreproducible"
  Abstract: It is an unfortunate convention of science that research should pretend to be reproducible; our top tips will help you mitigate this fussy conventionality, enabling you to enthusiastically showcase your irreproducible work.

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"
    - "share and enjoy publishing useful and usable scientific models"
    - "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:
    - "share and enjoy publishing useful and usable scientific models"
    - "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"
    - "community driven reviewing and validation of publications"
    - "can i implement your algorithm a model for reproducible research software"
    - "share and enjoy publishing useful and usable scientific models"
    - "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 "reproducibility in research systems infrastructure culture"):
  with members:
    - "an introduction to docker for reproducible research with examples from the r environment"
    - "ten simple rules for the care and feeding of scientific data"

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)