code: def kappa_SE_calc(PA, PE, POP):
      """
      Calculate kappa standard error.
  
      :param PA: observed agreement among raters (overall accuracy)
      :type PA: float
      :param PE: hypothetical probability of chance agreement (random accuracy)
      :type PE: float
      :param POP: population or total number of samples
      :type POP:int
      :return: kappa standard error as float
      """
      try:
          result = math.sqrt((PA * (1 - PA)) / (POP * ((1 - PE) ** 2)))
          return result
      except Exception:
          return "None"
  
file_path: pycm/pycm/pycm_ci.py
imports: from __future__ import division
  import math
label_desc: Use image node_id 8 for calling a global function with example usage: kappa_SE_calc(PA, PE, POP) and returns: result, str