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 "the combined effects of age and seniority on research performance of full professors"):
  Abstract: In this paper we examine the relationship between research performance, age, and seniority in academic rank of full professors in the Italian academic system. Differently from a large part of the literature, our results generally show a negative monotonic relationship between age and research performance, in all the disciplines under analysis. We also highlight a positive relationship between seniority in rank and performance, occurring particularly in certain disciplines. While in medicine, biology, and chemistry this result could be explained by the ‘accumulative advantage’ effect, in other disciplines, like civil engineering, and pedagogy and psychology, it could be due to the existence of a large performance differential between young and mature researchers, at the moment of the promotion to full professors. These results, witnessed both generally and at the level of the individual disciplines, offer useful insights for policy makers and administrators in academia on the role of older professors.

Includes members:
  Member "measuring science irresistible temptations easy shortcuts and dangerous consequences":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the collaboration behavior of top scientists")
  Member "variation in research collaboration patterns across academic ranks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "authorship analysis of specialized vs diversified research output")
  Member "variability of research performance across disciplines within universities in non competitive higher education systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the ratio of top scientists to the academic staff as an indicator of the competitive strength of universities")
  Member "career advancement and scientific performance in universities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a nation s foreign and domestic professors which have better research performance the italian case")
  Member "individual research performance a proposal for comparing apples to oranges":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "what is the appropriate length of the publication period over which to assess research performance":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "how important is choice of the scaling factor in standardizing citations":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "field normalization of scientometric indicators")
  Member "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")

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.DL(Digital Libraries)