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: "sharing a reward based on peer evaluations"
  Abstract: We study a problem where a group of agents has to decide how some fixed value should be shared among them. We are interested in settings where the share that each agent receives is based on how that agent is evaluated by other members of the group, where highly regarded agents receive a greater share compared to agents that are not well regarded. We introduce two mechanisms for determining agents' shares: the peer-evaluation mechanism, where each agent gives a direct evaluation for every other member of the group, and the peer-prediction mechanism, where each agent is asked to report how they believe group members will evaluate a particular agent. The sharing is based on the provided information. While both mechanisms are individually rational, the first mechanism is strategy-proof and budget-balanced, but it can be collusion-prone. Further, the second mechanism is collusion-resistant and incentive-compatible.

Connected through hyperedge HE-1 (induced by source paper "inducing honest reporting without observing outcomes an application to the peer review process"):
  with members:
    - "a truth serum for sharing rewards"
    - "a consensual linear opinion pool"
    - "the online laboratory conducting experiments in a real labor market"
    - "mechanisms for making crowds truthful"

Connected through hyperedge HE-2 (induced by source paper "a consensual linear opinion pool"):
  with members:
    - "a truth serum for sharing rewards"
    - "eliciting forecasts from self interested experts scoring rules for decision makers"

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.GT(Computer Science and Game Theory)