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 "crowd guilds worker led reputation and feedback on crowdsourcing platforms"):
  Abstract: Crowd workers are distributed and decentralized. While decentralization is designed to utilize independent judgment to promote high-quality results, it paradoxically undercuts behaviors and institutions that are critical to high-quality work. Reputation is one central example: crowdsourcing systems depend on reputation scores from decentralized workers and requesters, but these scores are notoriously inflated and uninformative. In this paper, we draw inspiration from historical worker guilds (e.g., in the silk trade) to design and implement crowd guilds: centralized groups of crowd workers who collectively certify each other's quality through double-blind peer assessment. A two-week field experiment compared crowd guilds to a traditional decentralized crowd work model. Crowd guilds produced reputation signals more strongly correlated with ground-truth worker quality than signals available on current crowd working platforms, and more accurate than in the traditional model.

Includes members:
  Member "a glimpse far into the future understanding long term crowd worker quality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hype a benchmark for human eye perceptual evaluation of generative models")
  Member "atelier repurposing expert crowdsourcing tasks as micro internships":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "crowd coach peer coaching for crowd workers skill growth")
  Member "boomerang rebounding the consequences of reputation feedback on crowdsourcing platforms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "viznet towards a large scale visualization learning and benchmarking repository")
  Member "thousands of positive reviews distributed mentoring in online fan communities":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mosaic designing online creative communities for sharing works in progress")
  Member "laboratories of oligarchy how the iron law extends to peer production":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "designing for participation and change in digital institutions")

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.HC(Human-Computer Interaction)