code: def log_scale_standardize(vec, terms=None, other_vec=None):
      vec_ss = np.log(vec + 1) / np.log(2)
      vec_ss = (vec_ss - vec_ss.mean()) / vec_ss.std()
      return scale_0_to_1(vec_ss)
  
imports: from typing import Callable
  import numpy
  import pandas
  from scipy.stats import rankdata
label_desc: Use image node_id 13 for calling a global function with example usage: log_scale_standardize(vec, terms, other_vec) and returns: scale_0_to_1