Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
|   39 | State-gov        |   77516 | Bachelors    |   13 | Never-married         | Adm-clerical      | Not-in-family   |   Unnamed: 8 |   Unnamed: 9 |   2174 |    0 |   40 |   Unnamed: 13 | <=50K   |
|-----:|:-----------------|--------:|:-------------|-----:|:----------------------|:------------------|:----------------|-------------:|-------------:|-------:|-----:|-----:|--------------:|:--------|
|   50 | Self-emp-not-inc |   83311 | Bachelors    |   13 | Married-civ-spouse    | Exec-managerial   | Husband         |          nan |          nan |      0 |    0 |   13 |           nan | <=50K   |
|   38 | Private          |  215646 | HS-grad      |    9 | Divorced              | Handlers-cleaners | Not-in-family   |          nan |          nan |      0 |    0 |   40 |           nan | <=50K   |
|   53 | Private          |  234721 | 11th         |    7 | Married-civ-spouse    | Handlers-cleaners | Husband         |          nan |          nan |      0 |    0 |   40 |           nan | <=50K   |
|   28 | Private          |  338409 | Bachelors    |   13 | Married-civ-spouse    | Prof-specialty    | Wife            |          nan |          nan |      0 |    0 |   40 |           nan | <=50K   |
|   37 | Private          |  284582 | Masters      |   14 | Married-civ-spouse    | Exec-managerial   | Wife            |          nan |          nan |      0 |    0 |   40 |           nan | <=50K   |
|   49 | Private          |  160187 | 9th          |    5 | Married-spouse-absent | Other-service     | Not-in-family   |          nan |          nan |      0 |    0 |   16 |           nan | <=50K   |
|   52 | [MISSING]        |  209642 | HS-grad      |    9 | Married-civ-spouse    | Exec-managerial   | Husband         |          nan |          nan |      0 |    0 |   45 |           nan | >50K    |
|   31 | Private          |   45781 | Masters      |   14 | Never-married         | Prof-specialty    | Not-in-family   |          nan |          nan |  14084 |    0 |   50 |           nan | >50K    |
|   42 | Private          |  159449 | Bachelors    |   13 | Married-civ-spouse    | Exec-managerial   | Husband         |          nan |          nan |   5178 |    0 |   40 |           nan | >50K    |
|   37 | Private          |  280464 | Some-college |   10 | Married-civ-spouse    | Exec-managerial   | Husband         |          nan |          nan |      0 |    0 |   80 |           nan | >50K    |
|   30 | State-gov        |  141297 | Bachelors    |   13 | Married-civ-spouse    | Prof-specialty    | Husband         |          nan |          nan |      0 |    0 |   40 |           nan | >50K    |
|   23 | Private          |  122272 | Bachelors    |   13 | Never-married         | Adm-clerical      | Own-child       |          nan |          nan |      0 |    0 |   30 |           nan | <=50K   |
|   32 | Private          |  205019 | Assoc-acdm   |   12 | Never-married         | Sales             | Not-in-family   |          nan |          nan |      0 |    0 |   50 |           nan | <=50K   |
|   40 | Private          |  121772 | Assoc-voc    |   11 | Married-civ-spouse    | Craft-repair      | Husband         |          nan |          nan |      0 |    0 |   40 |           nan | >50K    |
|   34 | Private          |  245487 | 7th-8th      |    4 | Married-civ-spouse    | Transport-moving  | Husband         |          nan |          nan |      0 |    0 |   45 |           nan | <=50K   |
|   25 | Self-emp-not-inc |  176756 | HS-grad      |    9 | Never-married         | Farming-fishing   | Own-child       |          nan |          nan |      0 |    0 |   35 |           nan | <=50K   |
|   32 | Private          |  186824 | HS-grad      |    9 | Never-married         | Machine-op-inspct | Unmarried       |          nan |          nan |      0 |    0 |   40 |           nan | <=50K   |
|   38 | Private          |   28887 | 11th         |    7 | Married-civ-spouse    | Sales             | Husband         |          nan |          nan |      0 |    0 |   50 |           nan | <=50K   |
|   43 | Self-emp-not-inc |  292175 | Masters      |   14 | Divorced              | Exec-managerial   | Unmarried       |          nan |          nan |      0 |    0 |   45 |           nan | >50K    |
|   40 | Private          |  193524 | Doctorate    |   16 | Married-civ-spouse    | Prof-specialty    | Husband         |          nan |          nan |      0 |    0 |   60 |           nan | >50K    |
|   56 | Local-gov        |  216851 | Bachelors    |   13 | Married-civ-spouse    | Tech-support      | Husband         |          nan |          nan |      0 |    0 |   40 |           nan | >50K    |
|   54 | ?                |  180211 | Some-college |   10 | Married-civ-spouse    | ?                 | Husband         |          nan |          nan |      0 |    0 |   60 |           nan | >50K    |
|   22 | State-gov        |  311512 | Some-college |   10 | Married-civ-spouse    | Other-service     | Husband         |          nan |          nan |      0 |    0 |   15 |           nan | <=50K   |
|   31 | Private          |   84154 | Some-college |   10 | Married-civ-spouse    | Sales             | Husband         |          nan |          nan |      0 |    0 |   38 |           nan | >50K    |
|   57 | Federal-gov      |  337895 | Bachelors    |   13 | Married-civ-spouse    | Prof-specialty    | Husband         |          nan |          nan |      0 |    0 |   40 |           nan | >50K    |
|   47 | Private          |   51835 | Prof-school  |   15 | Married-civ-spouse    | Prof-specialty    | Wife            |          nan |          nan |      0 | 1902 |   60 |           nan | >50K    |
|   50 | Federal-gov      |  251585 | Bachelors    |   13 | Divorced              | Exec-managerial   | Not-in-family   |          nan |          nan |      0 |    0 |   55 |           nan | >50K    |
|   25 | Private          |  289980 | HS-grad      |    9 | Never-married         | Handlers-cleaners | Not-in-family   |          nan |          nan |      0 |    0 |   35 |           nan | <=50K   |
|   42 | Private          |  116632 | Doctorate    |   16 | Married-civ-spouse    | Prof-specialty    | Husband         |          nan |          nan |      0 |    0 |   45 |           nan | >50K    |



row_idx: 6
col_idx: 1
col_name: State-gov
label: Self-emp-not-inc
output: value: Self-emp-not-inc
tablib_key: tables/job=github_000005/batch=008585/mPTUb7xJ_MksslUaYbYd36wpklrHpFJSLgTHFLtL9Hc=