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: "from rankings to funnel plots the question of accounting for uncertainty when assessing university research performance"
  Abstract: The work applies the funnel plot methodology to measure and visualize uncertainty in the research performance of Italian universities in the science disciplines. The performance assessment is carried out at both discipline and overall university level. The findings reveal that for most universities the citation-based indicator used gives insufficient statistical evidence to infer that their research productivity is inferior or superior to the average. This general observation is one that we could indeed expect in a higher education system that is essentially non-competitive. The question is whether the introduction of uncertainty in performance reporting, while technically sound, could weaken institutional motivation to work towards continuous improvement.

Connected through hyperedge HE-1 (induced by source paper "the research production of nations and departments a statistical model for the share of publications"):
  with members:
    - "conceptual difficulties in the use of statistical inference in citation analysis"
    - "a multivariate stochastic model to assess research performance"
    - "funnel plots for visualizing uncertainty in the research performance of institutions"
    - "how do you define and measure research productivity"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "research productivity are higher academic ranks more productive than lower ones"
    - "research collaboration and productivity is there correlation"
    - "the first italian research assessment exercise a bibliometric perspective"

Connected through hyperedge HE-2 (induced by source paper "statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the leiden rankings"):
  with members:
    - "conceptual difficulties in the use of statistical inference in citation analysis"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "caveats for using statistical significance tests in research assessments"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "testing differences statistically with the leiden ranking"
    - "measuring contextual citation impact of scientific journals"

Connected through 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"):
  with members:
    - "measuring science irresistible temptations easy shortcuts and dangerous consequences"
    - "the impact of unproductive and top researchers on overall university research performance"
    - "ranking research institutions by the number of highly cited articles per scientist"
    - "the determinants of academic career advancement evidence from italy"
    - "which of the world s institutions employ the most highly cited researchers an analysis of the data from highlycited com"
    - "how do you define and measure research productivity"
    - "variability of research performance across disciplines within universities in non competitive higher education systems"
    - "career advancement and scientific performance in universities"

Connected through hyperedge HE-4 (induced by source paper "conceptual difficulties in the use of statistical inference in citation analysis"):
  with members:
    - "the precision of the arithmetic mean geometric mean and percentiles for citation data an experimental simulation modelling approach"
    - "funnel plots for visualizing uncertainty in the research performance of institutions"
    - "more precise methods for national research citation impact comparisons"
    - "the substantive and practical significance of citation impact differences between institutions guidelines for the analysis of percentiles using effect sizes and confidence intervals"
    - "counting publications and citations is more always better"
    - "caveats for using statistical significance tests in research assessments"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "caveats for the journal and field normalizations in the cwts leiden evaluations of research performance"

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)