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:
| Unnamed: 0      | 0         |       1 |       2 |       3 |       4 |       5 |       6 |       7 |       8 |       9 | ...   |     990 |     991 |     992 |     993 |     994 |     995 |     996 |     997 |     998 |     999 |
|:----------------|:----------|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|:------|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|--------:|
| RECALL          | [MISSING] | 1.14952 | 1.14876 | 1.14769 | 1.14956 | 1.14529 | 1.14973 | 1.1485  | 1.14908 | 1.14886 | ...   | 1.14549 | 1.15133 | 1.15597 | 1.14683 | 1.14593 | 1.14682 | 1.14946 | 1.14278 | 1.1473  | 1.14914 |
| RETRIEVAL       | 1.14184   | 1.13915 | 1.13957 | 1.13625 | 1.1417  | 1.13816 | 1.14325 | 1.14466 | 1.13305 | 1.13521 | ...   | 1.13052 | 1.13603 | 1.13296 | 1.14222 | 1.14457 | 1.14134 | 1.1447  | 1.13284 | 1.15081 | 1.14027 |
| EPISODIC_MEMORY | 1.16869   | 1.16809 | 1.16932 | 1.17253 | 1.16768 | 1.17022 | 1.17448 | 1.17194 | 1.1711  | 1.16928 | ...   | 1.17906 | 1.16713 | 1.16803 | 1.16867 | 1.1939  | 1.16655 | 1.18458 | 1.16051 | 1.17262 | 1.17714 |
| ENCODING        | 1.20767   | 1.20248 | 1.21425 | 1.21367 | 1.19983 | 1.22109 | 1.20772 | 1.20013 | 1.20464 | 1.1968  | ...   | 1.21358 | 1.1947  | 1.19174 | 1.20478 | 1.21102 | 1.20315 | 1.21289 | 1.20905 | 1.22874 | 1.19172 |
| WORD            | 1.405353  | 1.36887 | 1.33479 | 1.37083 | 1.4165  | 1.37027 | 1.36987 | 1.32499 | 1.40541 | 1.36012 | ...   | 1.39626 | 1.40776 | 1.28906 | 1.32563 | 1.33417 | 1.4048  | 1.41768 | 1.29903 | 1.44463 | 1.32375 |
| MEMORY          | 1.049248  | 1.04235 | 1.04654 | 1.04897 | 1.04477 | 1.03661 | 1.05348 | 1.04809 | 1.03826 | 1.04321 | ...   | 1.04187 | 1.03876 | 1.0498  | 1.04424 | 1.04181 | 1.04919 | 1.04504 | 1.04886 | 1.05178 | 1.05544 |
| EMOTION         | 1.09959   | 1.09474 | 1.09706 | 1.09319 | 1.09097 | 1.09931 | 1.09653 | 1.0982  | 1.09967 | 1.09451 | ...   | 1.09927 | 1.10048 | 1.0921  | 1.10709 | 1.09822 | 1.09956 | 1.10251 | 1.09643 | 1.09674 | 1.09218 |
| ANTICIPATION    | 1.127192  | 1.14383 | 1.13011 | 1.13174 | 1.13458 | 1.13349 | 1.13124 | 1.1346  | 1.11318 | 1.13165 | ...   | 1.12946 | 1.12848 | 1.12823 | 1.11967 | 1.12809 | 1.13664 | 1.12087 | 1.13204 | 1.13558 | 1.13465 |
| REWARD          | 1.165536  | 1.13529 | 1.1668  | 1.17213 | 1.16797 | 1.17005 | 1.17141 | 1.14818 | 1.15291 | 1.14241 | ...   | 1.15992 | 1.17017 | 1.17203 | 1.16178 | 1.1644  | 1.17714 | 1.16719 | 1.16131 | 1.15434 | 1.11994 |
| DECISION_MAKING | 1.157839  | 1.15451 | 1.1508  | 1.171   | 1.15203 | 1.16376 | 1.15559 | 1.17002 | 1.15443 | 1.14538 | ...   | 1.1677  | 1.15282 | 1.16846 | 1.17677 | 1.16589 | 1.15953 | 1.15615 | 1.15388 | 1.147   | 1.14986 |
| AROUSAL         | 1.091681  | 1.08546 | 1.07965 | 1.07623 | 1.0827  | 1.08796 | 1.08884 | 1.08315 | 1.07957 | 1.08441 | ...   | 1.08691 | 1.08059 | 1.08834 | 1.0829  | 1.07024 | 1.08855 | 1.08017 | 1.08191 | 1.08176 | 1.08302 |
| SALIENCE        | 1.071015  | 1.07045 | 1.06545 | 1.07649 | 1.07597 | 1.0782  | 1.06795 | 1.07089 | 1.07694 | 1.0769  | ...   | 1.06975 | 1.0695  | 1.0766  | 1.07322 | 1.07263 | 1.06959 | 1.07424 | 1.07189 | 1.07699 | 1.07466 |
| COGNITION       | 1.029437  | 1.028   | 1.02958 | 1.02382 | 1.02452 | 1.02659 | 1.0311  | 1.02898 | 1.02927 | 1.03052 | ...   | 1.02909 | 1.02998 | 1.02561 | 1.02588 | 1.03006 | 1.02898 | 1.03071 | 1.02717 | 1.02927 | 1.02961 |
| REACTION_TIME   | 1.044256  | 1.05032 | 1.04767 | 1.05051 | 1.04509 | 1.0496  | 1.0538  | 1.05148 | 1.05001 | 1.05042 | ...   | 1.04128 | 1.0534  | 1.04993 | 1.04791 | 1.04977 | 1.05276 | 1.04742 | 1.05092 | 1.04856 | 1.05252 |
| CONTEXT         | 1.094203  | 1.09196 | 1.09336 | 1.09091 | 1.08977 | 1.09524 | 1.09266 | 1.09101 | 1.0952  | 1.08854 | ...   | 1.09453 | 1.09003 | 1.09524 | 1.09408 | 1.09139 | 1.09415 | 1.09213 | 1.09068 | 1.09305 | 1.09149 |
| VISION          | 1.108314  | 1.11004 | 1.10812 | 1.11177 | 1.11064 | 1.11182 | 1.10815 | 1.10766 | 1.11402 | 1.10943 | ...   | 1.1053  | 1.10582 | 1.11139 | 1.11127 | 1.11232 | 1.11115 | 1.11381 | 1.11524 | 1.10899 | 1.11564 |
| MEANING         | 1.206528  | 1.20681 | 1.19865 | 1.21203 | 1.20705 | 1.20875 | 1.21593 | 1.20682 | 1.21334 | 1.19911 | ...   | 1.21431 | 1.20652 | 1.21448 | 1.21645 | 1.21734 | 1.20876 | 1.20963 | 1.2113  | 1.20847 | 1.21148 |
| MANIPULATION    | 1.238909  | 1.23863 | 1.23795 | 1.23864 | 1.23794 | 1.23669 | 1.23991 | 1.23645 | 1.23799 | 1.23683 | ...   | 1.23789 | 1.2386  | 1.23818 | 1.23834 | 1.23674 | 1.23783 | 1.23751 | 1.23841 | 1.23754 | 1.2386  |
| EXECUTION       | 1.085211  | 1.09039 | 1.08665 | 1.08554 | 1.08486 | 1.08784 | 1.08525 | 1.0918  | 1.085   | 1.08256 | ...   | 1.08753 | 1.0845  | 1.08296 | 1.08356 | 1.09054 | 1.08198 | 1.08933 | 1.0858  | 1.07944 | 1.09508 |
| HAND            | 1.138528  | 1.13672 | 1.14095 | 1.13812 | 1.13826 | 1.13992 | 1.1355  | 1.13202 | 1.13701 | 1.13323 | ...   | 1.13467 | 1.13917 | 1.13688 | 1.13155 | 1.13992 | 1.13625 | 1.1379  | 1.13849 | 1.13346 | 1.13246 |
| LANGUAGE        | 1.20018   | 1.1992  | 1.18989 | 1.19363 | 1.19318 | 1.19842 | 1.19725 | 1.19427 | 1.18901 | 1.19168 | ...   | 1.19419 | 1.19352 | 1.19551 | 1.19828 | 1.19542 | 1.19202 | 1.18858 | 1.19534 | 1.19914 | 1.19087 |
| HEARING         | 1.15725   | 1.16102 | 1.15593 | 1.1627  | 1.15577 | 1.16175 | 1.1608  | 1.1549  | 1.15869 | 1.15814 | ...   | 1.15136 | 1.15767 | 1.16148 | 1.15542 | 1.15536 | 1.15879 | 1.15766 | 1.16201 | 1.16557 | 1.16218 |



row_idx: 0
col_idx: 1
col_name: 0
label: 1.142206
output: value: 1.142206
tablib_key: tables/job=github_000005/batch=008354/PZ2qvPdNkuSwpn23D2uXQZTPyB00APIkuzqukI8UFmA=