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 effect of novelty on the future impact of scientific grants"):
  Abstract: Government funding agencies and foundations tend to perceive novelty as necessary for scientific impact and hence prefer to fund novel instead of incremental projects. Evidence linking novelty and the eventual impact of a grant is surprisingly scarce, however. Here, we examine this link by analyzing 920,000 publications funded by 170,000 grants from the National Science Foundation (NSF) and the National Institutes of Health (NIH) between 2008 and 2016. We use machine learning to quantify grant novelty at the time of funding and relate that measure to the citation dynamics of these publications. Our results show that grant novelty leads to robust increases in citations while controlling for the principal investigator's grant experience, award amount, year of publication, prestige of the journal, and team size. All else held constant, an article resulting from a fully-novel grant would on average double the citations of a fully-incremental grant. We also find that novel grants produce as many articles as incremental grants while publishing in higher prestige journals. Taken together, our results provide compelling evidence supporting NSF, NIH, and many other funding agencies' emphases on novelty.

Includes members:
  Member "science and technology advance through surprise":
    also connected through other hyperedges:
      (none)
  Member "science concierge a fast content based recommendation system for scientific publications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "automating the search for a patent s prior art with a full text similarity search")

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)