def predictScore(self, message):
        """
        This turns probability into score in range [-.5, 5]
        """
        scoreDic = {}
        scoreDic['pos'] = (self._posNegPrbDic['pos'] - .5)
        scoreDic['neg'] = (.5 - self._posNegPrbDic['neg'])
        return self._posNegPrbDic
dataset/ETHPy150Open dssg/ushine-learning/dssg/classifier.py/DssgBinaryClassifierMajorityVote.predictScore/swapped operands of `-`