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: "a typical model audit approach spreadsheet audit methodologies in the city of london"
  Abstract: Spreadsheet audit and review procedures are an essential part of almost all City of London financial transactions. Structured processes are used to discover errors in large financial spreadsheets underpinning major transactions of all types. Serious errors are routinely found and are fed back to model development teams generally under conditions of extreme time urgency. Corrected models form the essence of the completed transaction and firms undertaking model audit and review expose themselves to significant financial liability in the event of any remaining significant error. It is noteworthy that in the United Kingdom, the management of spreadsheet error is almost unheard of outside of the City of London despite the commercial ubiquity of the spreadsheet.

Connected through hyperedge HE-1 (induced by source paper "excel 2013 spreadsheet inquire"):
  with members:
    - "drivers of the cost of spreadsheet audit"
    - "a spreadsheet auditing tool evaluated in an industrial context"
    - "risk assessment for spreadsheet developments choosing which models to audit"
    - "managing critical spreadsheets in a compliant environment"
    - "correctness is not enough"

Connected through hyperedge HE-2 (induced by source paper "the detection of human spreadsheet errors by humans versus inspection auditing software"):
  with members:
    - "spreadsheet auditing software"
    - "an exploratory analysis of the impact of named ranges on the debugging performance of novice users"
    - "spreadsheet end user behaviour analysis"
    - "spreadsheet assurance by control around is a viable alternative to the traditional approach"
    - "recommended practices for spreadsheet testing"

Connected through hyperedge HE-3 (induced by source paper "error estimation in large spreadsheets using bayesian statistics"):
  with members:
    - "thinking is bad implications of human error research for spreadsheet research and practice"
    - "the importance and criticality of spreadsheets in the city of london"

Connected through hyperedge HE-4 (induced by source paper "managing critical spreadsheets in a compliant environment"):
  with members:
    - "sarbanes oxley what about all the spreadsheets"

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.SE(Software Engineering)