class_docstr: A set of QA predictions for a passage or a document. The candidates are stored in QAPred.prediction which is a
  list of QACandidate objects. Also contains all attributes needed to convert the object into json format and also
  to create a context window for a UI
docstr: Converts the information stored in the object into a json format.
  
  :param squad: If True, no_answers are represented by the empty string instead of "no_answer"
  :return:
docstr_tok: ["Converts","the","information","stored","in","the","object","into","a","json","format",".",":","param","squad",":","If","True",",","no_answers","are","represented","by","the","empty","string","instead","of","``","no_answer","''",":","return",":"]
code: def to_json(self, squad=False):
      """
      Converts the information stored in the object into a json format.
  
      :param squad: If True, no_answers are represented by the empty string instead of "no_answer"
      :return:
      """
  
      answers = self._answers_to_json(self.id, squad)
      ret = {
          "task": "qa",
          "predictions": [
              {
                  "question": self.question,
                  "id": self.id,
                  "ground_truth": self.ground_truth_answer,
                  "answers": answers,
                  "no_ans_gap": self.no_answer_gap,  # Add no_ans_gap to current no_ans_boost for switching top prediction
              }
          ],
      }
      if squad:
          del ret["predictions"][0]["id"]
          ret["predictions"][0]["question_id"] = self.id
      return ret
  
imports: from typing import List, Any
  from abc import ABC
  import logging
label_desc: Use image node_id 2 for calling the QAPred obj's underlying member method code with example usage: obj.to_json(squad) and returns: ret