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: "employer expectations peer effects and productivity evidence from a series of field experiments"
  Abstract: This paper reports the results of a series of field experiments designed to investigate how peer effects operate in a real work setting. Workers were hired from an online labor market to perform an image-labeling task and, in some cases, to evaluate the work product of other workers. These evaluations had financial consequences for both the evaluating worker and the evaluated worker. The experiments showed that on average, evaluating high-output work raised an evaluator's subsequent productivity, with larger effects for evaluators that are themselves highly productive. The content of the subject evaluations themselves suggest one mechanism for peer effects: workers readily punished other workers whose work product exhibited low output/effort. However, non-compliance with employer expectations did not, by itself, trigger punishment: workers would not punish non-complying workers so long as the evaluated worker still exhibited high effort. A worker's willingness to punish was strongly correlated with their own productivity, yet this relationship was not the result of innate differences---productivity-reducing manipulations also resulted in reduced punishment. Peer effects proved hard to stamp out: although most workers complied with clearly communicated maximum expectations for output, some workers still raised their production beyond the output ceiling after evaluating highly productive yet non-complying work products.

Connected through hyperedge HE-1 (induced by source paper "beyond amt an analysis of crowd work platforms"):
  with members:
    - "collective intelligence 2012 proceedings"

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.HC(Human-Computer Interaction)