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:
|   code_item_id |   kind |   start_column |   start_line |   end_column | end_line   |
|---------------:|-------:|---------------:|-------------:|-------------:|:-----------|
|              6 |      1 |              1 |            6 |           16 | 6          |
|             10 |      1 |              5 |           11 |           19 | 11         |
|             12 |      1 |              6 |           15 |           21 | 15         |
|             14 |      1 |              5 |           19 |           21 | 19         |
|             16 |      1 |              6 |           26 |           25 | 26         |
|             22 |      1 |              1 |            6 |           28 | 6          |
|             24 |      1 |             11 |           10 |           35 | 10         |
|             26 |      1 |             10 |           16 |           34 | 16         |
|             28 |      1 |              5 |           22 |           28 | 22         |
|             29 |      1 |              1 |           26 |           29 | 26         |
|             53 |      1 |              6 |            9 |           29 | 9          |
|             55 |      1 |              6 |           19 |           32 | 19         |
|             57 |      1 |              6 |           35 |           32 | 35         |
|             59 |      1 |              6 |           53 |           32 | 53         |
|             61 |      1 |              6 |           85 |           30 | 85         |
|             63 |      1 |              6 |          111 |           31 | [MISSING]  |
|             65 |      1 |              6 |          137 |           25 | 137        |
|             73 |      2 |             15 |           11 |           17 | 11         |
|             91 |      2 |             15 |            7 |           18 | 7          |
|             94 |      2 |              8 |           11 |           10 | 11         |
|            100 |      2 |              5 |           14 |            7 | 14         |
|            101 |      2 |             12 |           14 |           14 | 14         |
|            102 |      2 |             19 |           14 |           21 | 14         |
|            128 |      1 |              1 |           27 |           31 | 27         |
|            132 |      1 |              4 |           32 |           31 | 32         |
|            136 |      1 |              3 |           39 |           30 | 39         |
|            140 |      1 |              5 |           46 |           31 | 46         |
|            143 |      1 |              1 |           51 |           32 | 51         |
|            149 |      1 |              6 |            4 |           21 | 4          |
|            151 |      1 |              6 |           11 |           28 | 11         |
|            175 |      1 |             14 |           20 |           28 | 20         |
|            178 |      1 |             14 |           25 |           28 | 25         |
|            181 |      1 |             14 |           30 |           28 | 30         |
|            184 |      1 |             14 |           35 |           28 | 35         |
|            496 |      1 |              6 |            4 |           24 | 4          |
|            499 |      1 |              6 |            8 |           24 | 8          |
|            749 |      2 |              9 |           91 |           10 | 91         |
|            750 |      2 |             19 |           91 |           20 | 91         |
|            751 |      2 |             29 |           91 |           30 | 91         |
|            800 |      1 |              6 |            4 |           29 | 4          |
|            804 |      1 |              5 |           13 |           27 | 13         |
|            806 |      1 |              6 |           20 |           33 | 20         |
|            808 |      1 |              6 |           25 |           28 | 25         |
|            810 |      1 |              6 |           32 |           26 | 32         |
|            813 |      1 |              6 |           37 |           30 | 37         |
|            838 |      1 |              1 |            4 |           28 | 4          |
|            844 |      1 |              6 |            7 |           27 | 7          |
|            863 |      1 |              1 |            5 |           28 | 5          |
|            868 |      1 |              6 |            8 |           27 | 8          |
|            895 |      1 |              6 |            5 |           23 | 5          |
|            897 |      1 |              6 |            9 |           24 | 9          |
|            903 |      2 |              7 |            7 |           11 | 7          |
|            914 |      1 |              1 |            6 |            8 | 6          |
|            915 |      1 |              1 |           12 |            8 | 12         |
|            917 |      1 |              1 |           19 |            8 | 19         |
|            919 |      1 |              6 |           27 |           19 | 27         |
|            921 |      1 |              6 |           41 |           19 | 41         |
|            923 |      1 |              6 |           51 |           20 | 51         |
|            925 |      1 |              6 |           61 |           20 | 61         |
|            927 |      1 |              1 |           68 |            9 | 68         |



row_idx: 15
col_idx: 5
col_name: end_line
label: 111
output: value: 111
tablib_key: tables/job=github_000005/batch=009026/j26ci4om6t9kAnCCeIFanTbICnmKOWZ9s_2-idqlY68=