code: def filter(self, run_counts, criteria):
      
      wrong_confidence = criteria['wrong_confidence']
      below_t = wrong_confidence <= self.t
      filtered_counts = deep_copy(run_counts)
      for key in filtered_counts:
        filtered_counts[key] = filtered_counts[key][below_t]
      return filtered_counts
docs: Return the counts for only those examples that are below the threshold