def getEvidenceRecommendationAcrossTopics(topic_dist, name):
top_documents = TopicModeler.compute_documents_similarity(topic_dist, name)
start_id = 62164 # TODO: change this based on corpus name
evidence_ids = map(lambda id: id+start_id, top_documents)
evidence = Evidence.objects.filter(id__in=evidence_ids)
evidence = dict([(obj.id, obj) for obj in evidence])
sorted_evidence = [evidence[id] for id in evidence_ids]
serialized_json = serializers.serialize('json', sorted_evidence)
evidence_json = flattenSerializedJson(serialized_json)
return json.loads(evidence_json)
