code: def _what_default(self, pronunciation):
          
  
          token_default = self['metadata']['token_default']['what']
          index_count = 2*len(pronunciation) + 1
  
          predictions = {}
          for i in range(index_count):
              index_predictions = {}
  
              if i % 2 == 0:
                  index_predictions.update(token_default['0'])
  
              else:
                  presented_phoneme = pronunciation[int((i-1)/2)]
                  index_predictions[presented_phoneme] = token_default['1']['=']
                  index_predictions['*'] = token_default['1']['*']
                  index_predictions[''] = token_default['1']['']
  
              predictions['{}'.format(i)] = index_predictions
  
          return predictions
docs: Provide the default prediction of the what task.
  
          This function is used to predict the probability of a given pronunciation being reported for a given token.
  
          :param pronunciation: The list or array of confusion probabilities at each index