code: def update_beliefs(self, corpus_id):
          
          corpus = self.get_corpus(corpus_id)
          be = BeliefEngine(self.scorer)
          stmts = list(corpus.statements.values())
          be.set_prior_probs(stmts)
          # Here we set beliefs based on actual curation
          for uuid, correct in corpus.curations.items():
              stmt = corpus.statements.get(uuid)
              if stmt is None:
                  logger.warning('%s is not in the corpus.' % uuid)
                  continue
              stmt.belief = correct
          belief_dict = {st.uuid: st.belief for st in stmts}
          return belief_dict
docs: Return updated belief scores for a given corpus.
  
          Parameters
          ----------
          corpus_id : str
              The ID of the corpus for which beliefs are to be updated.
  
          Returns
          -------
          dict
              A dictionary of belief scores with keys corresponding to Statement
              UUIDs and values to new belief scores.