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:
| State   | Gender    |   Year | Name      |   Number |
|:--------|:----------|-------:|:----------|---------:|
| TX      | F         |   1910 | Frances   |      197 |
| TX      | F         |   1910 | Alice     |      149 |
| TX      | F         |   1910 | Beatrice  |      123 |
| TX      | F         |   1910 | Ella      |      102 |
| TX      | F         |   1910 | Gertrude  |       97 |
| TX      | F         |   1910 | Josephine |       86 |
| TX      | F         |   1910 | Lula      |       77 |
| TX      | F         |   1910 | Blanche   |       50 |
| TX      | F         |   1910 | Marjorie  |       40 |
| TX      | [MISSING] |   1910 | Christine |       34 |
| TX      | F         |   1910 | Margarita |       31 |
| TX      | F         |   1910 | Alta      |       29 |
| TX      | F         |   1910 | Sara      |       28 |
| TX      | F         |   1910 | Naomi     |       24 |
| TX      | F         |   1910 | Sofia     |       23 |
| TX      | F         |   1910 | Andrea    |       16 |
| TX      | F         |   1910 | Delfina   |       16 |
| TX      | F         |   1910 | Dominga   |       16 |
| TX      | F         |   1910 | Elnora    |       16 |
| TX      | F         |   1910 | Adele     |       15 |
| TX      | F         |   1910 | Rafaela   |       12 |
| TX      | F         |   1910 | Dixie     |       11 |
| TX      | F         |   1910 | Luisa     |       11 |
| TX      | F         |   1910 | Bess      |       10 |
| TX      | F         |   1910 | Ernestine |       10 |
| TX      | F         |   1910 | Lorine    |        9 |
| TX      | F         |   1910 | Patsy     |        9 |
| TX      | F         |   1910 | Cecelia   |        8 |
| TX      | F         |   1910 | Enriqueta |        8 |
| TX      | F         |   1910 | Lucinda   |        8 |
| TX      | F         |   1910 | Alyce     |        7 |
| TX      | F         |   1910 | Oneta     |        7 |
| TX      | F         |   1910 | Apolonia  |        6 |
| TX      | F         |   1910 | Gloria    |        6 |
| TX      | F         |   1910 | Rhoda     |        6 |
| TX      | F         |   1910 | Buna      |        5 |
| TX      | F         |   1910 | Maye      |        5 |
| TX      | F         |   1910 | Pansy     |        5 |
| TX      | F         |   1910 | Gladys    |      240 |
| TX      | F         |   1910 | Maria     |      223 |
| TX      | F         |   1910 | Helen     |      189 |
| TX      | F         |   1910 | Velma     |      133 |
| TX      | F         |   1910 | Clara     |      129 |
| TX      | F         |   1910 | Anna      |      117 |
| TX      | F         |   1910 | Evelyn    |      106 |
| TX      | F         |   1910 | Rosa      |       88 |
| TX      | F         |   1910 | Mae       |       83 |
| TX      | F         |   1910 | Bernice   |       77 |
| TX      | F         |   1910 | Stella    |       69 |
| TX      | F         |   1910 | Vivian    |       63 |
| TX      | F         |   1910 | Mable     |       62 |
| TX      | F         |   1910 | Maggie    |       54 |
| TX      | F         |   1910 | Betty     |       50 |
| TX      | F         |   1910 | Guadalupe |       50 |
| TX      | F         |   1910 | Lorene    |       46 |
| TX      | F         |   1910 | Susie     |       44 |
| TX      | F         |   1910 | Sadie     |       42 |
| TX      | F         |   1910 | Erma      |       38 |
| TX      | F         |   1910 | Verna     |       37 |
| TX      | F         |   1910 | Amelia    |       33 |
| TX      | F         |   1910 | Estelle   |       31 |
| TX      | F         |   1910 | Nell      |       31 |
| TX      | F         |   1910 | Margie    |       28 |
| TX      | F         |   1910 | Celia     |       26 |
| TX      | F         |   1910 | Lessie    |       24 |
| TX      | F         |   1910 | Eloise    |       22 |
| TX      | F         |   1910 | Millie    |       22 |
| TX      | F         |   1910 | Olga      |       21 |
| TX      | F         |   1910 | Letha     |       20 |
| TX      | F         |   1910 | Rachel    |       19 |
| TX      | F         |   1910 | Luz       |       16 |
| TX      | F         |   1910 | Gussie    |       15 |
| TX      | F         |   1910 | Sylvia    |       14 |
| TX      | F         |   1910 | Aline     |       13 |
| TX      | F         |   1910 | Barbara   |       11 |
| TX      | F         |   1910 | Iris      |       11 |
| TX      | F         |   1910 | Leila     |       10 |
| TX      | F         |   1910 | Mozelle   |       10 |
| TX      | F         |   1910 | Simona    |        9 |
| TX      | F         |   1910 | Catalina  |        8 |
| TX      | F         |   1910 | Hester    |        8 |
| TX      | F         |   1910 | Willia    |        8 |
| TX      | F         |   1910 | Allene    |        7 |
| TX      | F         |   1910 | Avis      |        7 |
| TX      | F         |   1910 | George    |        7 |
| TX      | F         |   1910 | Isabella  |        7 |
| TX      | F         |   1910 | Polly     |        7 |
| TX      | F         |   1910 | Syble     |        7 |
| TX      | F         |   1910 | Teodora   |        7 |
| TX      | F         |   1910 | Lennie    |        5 |
| TX      | F         |   1910 | Ricarda   |        5 |
| TX      | F         |   1910 | Valerie   |        5 |
| TX      | M         |   1910 | Robert    |      276 |
| TX      | M         |   1910 | Willie    |      199 |
| TX      | M         |   1910 | Fred      |       78 |
| TX      | M         |   1910 | Raymond   |       78 |
| TX      | M         |   1910 | Richard   |       75 |
| TX      | M         |   1910 | Sam       |       56 |
| TX      | M         |   1910 | Ernest    |       55 |
| TX      | M         |   1910 | Leroy     |       29 |



row_idx: 9
col_idx: 1
col_name: Gender
label: F
output: value: F
tablib_key: tables/job=github_000005/batch=003598/pZnfzEIo0Y_xywLzLueK5wmDNN0AVHczyZCA-9AwrTI=