code: def interval_score(
      true: np.array,
      low: np.array,
      up: np.array,
      alpha: float = 0.1,
      weight: float = 2,
  ):
      """Interval score metric, see https://arxiv.org/pdf/2007.05709.pdf"""
      aiw = np.mean(up - low)
      array = (true < low) * (low - true) + (true > up) * (true - up)
      return aiw + weight / alpha * np.mean(array)
  
label_desc: Use image node_id 3 for calling a global function with example usage: interval_score(true, low, up, alpha, weight) and returns: unknown