docs: def normalize(score, alpha=15):
      """
      Normalize the score to be between -1 and 1 using an alpha that
      approximates the max expected value
      """
      norm_score = score / math.sqrt((score * score) + alpha)
      if norm_score < -1.0:
          return -1.0
      elif norm_score > 1.0:
          return 1.0
      else:
          return norm_score