code: def get_thresholded_score(
      cat_word_counts, not_cat_word_counts, alpha_w=0.01, threshold=0.1
  ):
      scores = (
          LogOddsRatioUninformativeDirichletPrior(
              alpha_w
          ).get_p_values_from_counts(
              cat_word_counts, not_cat_word_counts
          )
      ) * 2 - 1
      # scores = (np.min(np.array([1 - scores, scores]), axis=0) <= threshold) * scores
      return scores * (
          (scores < -(1.0 - (threshold * 2)))
          | (scores > (1.0 - (threshold * 2)))
      )
  
file_path: scattertext/scattertext/termscoring/LogOddsUniformativePriorScore.py
imports: import numpy
  import pandas
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
  from scattertext.termsignificance import LogOddsRatioUninformativeDirichletPrior
label_desc: Use image node_id 4 for calling the LogOddsUninformativePriorScore obj's underlying member method code with example usage: obj.get_thresholded_score(cat_word_counts, not_cat_word_counts, alpha_w, threshold) and returns: unknown