code: def GESD(**kwargs):
      """GESD class for Generalized Extreme Studentized Deviate thresholder.
  
      Use the generalized extreme studentized deviate to evaluate a
      non-parametric means to threshold scores generated by the decision_scores
      where outliers are set to any less than the smallest detected outlier.
  
      Parameters
      ----------
  
      max_outliers : int, optional (default='auto')
           mamiximum number of outliers that the dataset may have. Default sets
           max_outliers to be half the size of the dataset
  
      alpha : float, optional (default=0.05)
           significance level
      """
  
      from pythresh.thresholds.gesd import GESD as GESD_thres
  
      return GESD_thres(**kwargs)
  
label_desc: Use image node_id 13 for calling a global function with example usage: GESD() and returns: GESD_thres