Table:
institution
all federal obligations
hhs
dod
nsf
nasa
doe
other agenciesa

all nonprofit institutions
5756745
4077493
730422
314187
235126
142406
257112

top 10 nonprofit institutions
1997323
1679420
256054
32947
1156
24987
2760

massachusetts general hospital
348970
338944
7157
2639
230
0
0

brigham and women's hospital
320660
319129
724
0
806
0
0

mayo clinic
238868
233435
5073
361
0
0
0

fred hutchinson cancer research center
232509
232091
320
99
0
0
0

battelle memorial institute, all locations
213463
29311
163476
5
120
18643
1909

sri international
157427
48712
74733
26837
0
6345
801

boston children's hospital
133821
130693
2572
557
0
0
0

dana-farber cancer institute
123760
121809
1651
300
0
0
0

children's hospital of philadelphia
117838
115893
0
1895
0
0
50

beth israel deaconess medical center, boston
110007
109404
348
255
0
0
0

all other nonprofit institutions
3759423
2398074
474368
281239
233970
117419
254353

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
row 7 and column 2,
row 11 and column 3,
row 2 and column 2,
row 7 and column 8,
row 1 and column 3,
row 10 and column 5,
row 2 and column 6,

Represent each cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}. For instance, {"row_id":"5", "column_id":"4", "cell_value":"missouri 4"}.

The target cell values are as follows:
{"row_id":"7", "column_id":"2", "cell_value":"232509"}
{"row_id":"11", "column_id":"3", "cell_value":"121809"}
{"row_id":"2", "column_id":"2", "cell_value":"5756745"}
{"row_id":"7", "column_id":"8", "cell_value":"0"}
{"row_id":"1", "column_id":"3", "cell_value":"hhs"}
{"row_id":"10", "column_id":"5", "cell_value":"557"}
{"row_id":"2", "column_id":"6", "cell_value":"235126"}