code: def mmGetMetricDistinctnessConfusion(self):
      
      self._mmComputeSequenceRepresentationData()
      numbers = self._mmData["distinctnessConfusion"]
      return Metric(self, "distinctness confusion", numbers)
docs: For each iteration that doesn't follow a reset, looks at every other
      iteration for every other world that doesn't follow a reset, and computes
      the number of bits that show up in both sets of active cells those that
      iteration. This metric returns the distribution of those numbers.
  
      @return (Metric) Distinctness confusion metric