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:
| country      |   mid_age |   participations |   abroad_percentage |   market | mid_market_value   |
|:-------------|----------:|-----------------:|--------------------:|---------:|:-------------------|
| France       |      26   |               15 |                69.6 |   916.65 | 39.85              |
| Spain        |      28.5 |               15 |                26.1 |   909    | 39.52              |
| Germany      |      26.8 |               19 |                33.3 |   897.75 | 33.25              |
| Brazil       |      28.6 |               21 |                87   |   814.5  | 35.41              |
| Belgium      |      27.6 |               13 |                92.9 |   675.68 | [MISSING]          |
| England      |      26   |               15 |                 0   |   648    | 28.17              |
| Argentina    |      29.2 |               17 |                87   |   621.9  | 27.04              |
| Portugal     |      28.3 |                7 |                73.9 |   435.56 | 18.94              |
| Uruguay      |      27.8 |               13 |                92.3 |   347.4  | 13.36              |
| Croatia      |      27.7 |                5 |                91.7 |   321.03 | 13.38              |
| Colombia     |      28   |                6 |                82.9 |   277.65 | 7.93               |
| Poland       |      27.4 |                8 |                75   |   251.73 | 7.87               |
| Senegal      |      27.1 |                2 |               100   |   248.81 | 10.82              |
| Serbia       |      26.4 |                2 |                88.9 |   234.77 | 8.69               |
| Denmark      |      27.5 |                5 |                85.2 |   225.59 | 8.35               |
| Switzerland  |      26.6 |               11 |                96.2 |   200.03 | 7.69               |
| Mexico       |      28.9 |               16 |                53.6 |   147.96 | 5.28               |
| Russia       |      28.4 |                4 |                10.7 |   134.57 | 4.81               |
| Egypt        |      28.4 |                3 |                62.1 |   116.98 | 4.03               |
| Nigeria      |      25.5 |                6 |                90   |   116.33 | 3.88               |
| Morocco      |      26.9 |                5 |                88.5 |   109.67 | 4.22               |
| Sweden       |      28.2 |               12 |               100   |   104.81 | 4.56               |
| South Korea  |      27.8 |               10 |                50   |    69.53 | 2.48               |
| Japan        |      27.9 |                6 |                65.4 |    65.88 | 2.53               |
| Iceland      |      28.6 |                1 |                91.3 |    61.2  | 2.66               |
| Tunisia      |      27.1 |                5 |                72.4 |    49.3  | 1.7                |
| Australia    |      28.1 |                5 |                80.8 |    43.29 | 1.67               |
| Costa Rica   |      29.2 |                5 |                63   |    40.12 | 1.49               |
| Iran         |      27   |                5 |                58.3 |    38.66 | 1.61               |
| Peru         |      26.7 |                5 |                79.2 |    31.37 | 1.31               |
| Saudi Arabia |      28.6 |                5 |                10.7 |    20.25 | 723.0              |
| Panama       |      28.2 |                1 |                77.1 |    10.53 | 301.0              |



row_idx: 4
col_idx: 5
col_name: mid_market_value
label: 24.13
output: value: 24.13
tablib_key: tables/job=github_000005/batch=002383/Me-9YxsyY9jFqWjYOq04jGwnllG5Yz_jWYF1dEi7dm4=