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: "quantitative cv based indicators for research quality validated by peer review"
  Abstract: In a university, research assessments are organized at different policy levels (faculties, research council) in different contexts (funding, council membership, personnel evaluations). Each evaluation requires its own focus and methodology. To conduct a coherent research policy however, data on which different assessments are based should be well coordinated. A common set of core indicators for any type of research assessment can provide a supportive and objectivating tool for evaluations at different institutional levels and at the same time promote coherent decision-making. The same indicators can also form the basis for a 'light touch' monitoring instrument, signalling when and where a more thorough evaluation could be considered. This poster paper shows how peer review results were used to validate a set of quantitative indicators for research quality for a first series of disciplines. The indicators correspond to categories in the university's standard CV-format. Per discipline, specific indicators are identified corresponding to their own publication and funding characteristics. Also more globally valid indicators are identified after normalization for discipline-characteristic performance levels. The method can be applied to any system where peer ratings and quantitative performance measures, both reliable and sufficiently detailed, can be combined for the same entities.

Connected through hyperedge HE-1 (induced by source paper "characteristics of international versus non international scientific publication media in team and author based data"):
  with members:
    - "reliability and comparability of peer review results"
    - "research evaluation per discipline a peer review method and its outcomes"

Connected through hyperedge HE-2 (induced by source paper "quality related publication categories in social sciences and humanities based on a university s peer review assessments"):
  with members:
    - "research evaluation per discipline a peer review method and its outcomes"

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.DL(Digital Libraries)