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@INPROCEEDINGS{Kim:1019030,
      author       = {Kim, Jangho and Pederiva, Giovanni and Shindler, Andrea},
      title        = {{S}calar content of nucleon with the gradient flow using
                      machine learning},
      reportid     = {FZJ-2023-05093},
      year         = {2023},
      month         = {Feb},
      date          = {2023-02-23},
      organization  = {Arbeitstreffen Kernphysik 2023,
                       Schleching (Germany), 23 Feb 2023 - 2
                       Mar 2023},
      subtyp        = {Other},
      cin          = {IAS-4},
      cid          = {I:(DE-Juel1)IAS-4-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / DFG project
                      443914323 - Symmetrie-verletzende hadronische
                      Wechselwirkungen in der Gitter-QCD (A10*) (443914323)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(GEPRIS)443914323},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1019030},
}