code: def explode_ht_to_df_logistic(result_table, phenotypes):
      """
      take hail logistic regression results, match to glow, convert to Spark dataframe
      """
      result_table = result_table.annotate_globals(
          phenotypes=phenotypes
      )
      result_table = annotate_hl_result_table_logistic(result_table)
      hl_result_df = result_table.to_spark()
      hl_result_df = select_cols_hail_gwas_results_logistic(
          hl_result_df
      )
      return hl_result_df
  
label_desc: Use image node_id 6 for calling a global function with example usage: explode_ht_to_df_logistic(result_table, phenotypes) and returns: hl_result_df