Individual scores when using compound queries

Hello team,

Versions (relevant - OpenSearch/Dashboard/Server OS/Browser):
2.13.0

Describe the issue:
I’m making a query using a compound query with two sub queries and I’m trying to get the individual score for each sub query. Currently, I only have the score for both queries combined (sum).

My query:

{
  "_source": {
    "excludes": [
      "object_embedding",
      "title_embedding"
    ]
  },
    "query" : {
        "bool": {
            "must": [
                {
                  "neural": {
                    "title_embedding": {
                      "query_text": "As an OlderPerson, I want to know exactly what ALFRED does with my personal data, and share it only on my specific permission.",
                      "model_id": "qsUuMI8BL6WYG43s_Q1l",
                      "k": 5
                    }
                  }
                },
                {
                  "neural": {
                    "object_embedding": {
                      "query_text": "b",
                      "model_id": "qsUuMI8BL6WYG43s_Q1l",
                      "k": 5
                    }
                  }
                }
            ]
        }
    }
}

And the result is:

{
  ....
    "max_score": 1.484573,
    "hits": [
      {
        "_index": "requirements-object-nlp",
        "_id": "REQ-JFNBWG",
        "_score": 1.484573,
        "_source": {
          "id": "REQ-JFNBWG",
          "title": "As an OlderPerson, I want to know exactly what ALFRED does with my personal data, and share it only on my specific permission.",
          "object": "BR"
        }
      }
    ]
  }
}

Observe that in the result contains a _score: 1.484573. For the first query, the score is 1 and for the second is 0.484573, so combined, we have that final result, which makes sense. But I also would like to “split” the score in the result, I would like the score for individual queries, for instance:

"_score": 1.484573,
"query0": 1,
"query1": 0.484573

Is it possible? If so, how can I achieve it?

Thank you. I really appreciate your time.