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:
|   WVDC |   Capacitance | ICPARTNUMBER   |   Maximum |     Maximum | DimsDxL   |
|        |          (µF) |                |    ESR(Ω) |   RMSRipple | (mm)      |
|        |               |                |    120Hz, |     Current |           |
|        |               |                |     +20°C |        (mA) |           |
|        |               |                |           |      120Hz, |           |
|        |               |                |           |      +105°C |           |
|-------:|--------------:|:---------------|----------:|------------:|:----------|
|    6.3 |           680 | 687CKH6R3M     |   0.0585  |         375 | 10x12.5   |
|    6.3 |          1000 | 108CKE6R3M     |   0.3979  |         445 | 8x11.5    |
|    6.3 |          1500 | 158CKH6R3M     |   0.2874  |         585 | 10x20     |
|    6.3 |          2200 | 228CKE6R3M     |   0.211   |         740 | 10x16     |
|    6.3 |          3300 | 338CKE6R3M     |   0.1507  |        1030 | 10x20     |
|    6.3 |          6800 | 688CKE6R3M     |   0.08777 |        1555 | 12.5x25   |
|    6.3 |         10000 | 109CKE6R3M     |   0.06963 |        1900 | 16x25     |
|    6.3 |         10000 | 109CKH6R3M     |   0.06963 |        1730 | 16x30     |
|    6.3 |         15000 | 159CKE6R3MQW   |   0.05747 |        1820 | 16x30     |
|    6.3 |         15000 | 159CKE6R3M     |   0.05747 |        2140 | 16x35     |
|    6.3 |         22000 | 229CKE6R3MRY   |   0.04979 |        2400 | 18x35     |
|   10   |           220 | 227CKE010M     |   1.6579  |         170 | 5x11      |
|   10   |           330 | 337CKE010M     |   1.1052  |         240 | 6.3x11    |
|   10   |           470 | 477CKE010M     |   0.776   |         285 | 6.3x11    |
|   10   |          1000 | 108CKE010M     |   0.3647  |         570 | 10x12.5   |
|   10   |          2200 | 228CKE010MLQ   |   0.1959  |         705 | 10x16     |
|   10   |          2200 | 228CKE010M     |   0.1959  |         900 | 10x20     |
|   10   |          3300 | 338CKE010M     |   0.1407  |        1205 | 12.5x20   |
|   10   |          4700 | 478CKE010M     |   0.1058  |        1490 | 12.5x25   |
|   10   |          4700 | 478CKH010M     |   0.1058  |        1350 | 16x25     |
|   10   |          6800 | 688CKE010M     |   0.0756  |        1825 | 16x25     |
|   10   |         10000 | 109CKE010MQW   |   0.0663  |        1980 | 16x30     |
|   10   |         10000 | 109CKH010M     |   0.0663  |        2030 | 18x35     |
|   10   |         15000 | 159CKE010MQY   |   0.0553  |        2050 | 16x35     |
|   10   |         15000 | 159CKE010M     |   0.0553  |        2370 | 18x35     |
|   10   |         22000 | 229CKE010M     |   0.0482  |        2410 | 18x40     |
|   16   |           220 | 227CKE016M     |   1.2057  |         215 | 6.3x11    |
|   16   |           330 | 337CKE016MGM   |   0.8038  |         225 | 6.3x11    |
|   16   |           470 | 477CKE016M     |   0.5644  |         365 | 8x11.5    |
|   16   |           470 | 477CKH016M     |   0.5644  |         440 | 10x12.5   |
|   16   |           680 | 687CKH016M     |   0.3901  |         490 | 10x16     |
|   16   |          1000 | 108CKE016MLN   |   0.2653  |         500 | 10x12.5   |
|   16   |          1000 | 108CKE016M     |   0.2653  |         680 | 10x16     |
|   16   |          1000 | 108CKH016M     |   0.2653  |         720 | 10x20     |
|   16   |          1500 | 158CKH016M     |   0.1989  |         800 | 12.5x20   |
|   16   |          2200 | 228CKE016MLU   |   0.1507  |         710 | 10x20     |
|   16   |          2200 | 228CKE016M     |   0.1507  |        1110 | 12.5x20   |
|   16   |          2200 | 228CKH016M     |   0.1507  |        1250 | 12.5x25   |
|   16   |          3300 | 338CKE016M     |   0.1105  |        1390 | 12.5x25   |
|   16   |          4700 | 478CKE016M     |   0.0847  |        1740 | 16x25     |
|   16   |          4700 | 478CKH016M     |   0.0847  |        1560 | 16x30     |
|   16   |          6800 | 688CKE016MQV   |   0.0707  |        1600 | 16x25     |
|   16   |          6800 | 688CKE016M     |   0.0707  |        2080 | 16x30     |
|   16   |         10000 | 109CKE016M     |   0.0564  |        2380 | 16x35     |
|   16   |         15000 | 159CKE016M     |   0.0486  |        2210 | 18x40     |
|   25   |            47 | 476CKH025M     |   4.9383  |         100 | 5x11      |
|   25   |           100 | 107CKE025MEM   |   2.321   |         125 | 5x11      |
|   25   |           220 | 227CKE025MGM   |   1.055   |         200 | 6.3x11    |
|   25   |           330 | 337CKE025M     |   0.4938  |         340 | [MISSING] |
|   25   |           470 | 477CKE025M     |   0.4938  |         470 | 10x12.5   |
|   25   |          1000 | 108CKE025MLQ   |   0.2321  |         610 | 10x16     |
|   25   |          1000 | 108CKE025M     |   0.2321  |         820 | 10x20     |
|   25   |          1500 | 158CKH025M     |   0.1768  |         905 | 12.5x25   |
|   25   |          2200 | 228CKE025M     |   0.1356  |        1175 | 12.5x25   |
|   25   |          2200 | 228CKH025M     |   0.1356  |        1210 | 16x25     |
|   25   |          3300 | 338CKE025M     |   0.1005  |        1645 | 16x25     |
|   25   |          3300 | 338CKH025M     |   0.1005  |        1800 | 16x30     |
|   25   |          4700 | 478CKE025MQV   |   0.0776  |        1570 | 16x25     |



row_idx: 48
col_idx: 5
col_name: DimsDxL
(mm)
label: 8x11.5
output: value: 8x11.5
tablib_key: tables/job=github_000005/batch=003598/J3V74ECmfliwlzWkn44iTzYDN_KWoR5yhR3HVRWAMiU=