Table:
Year
Team
G
GS
Passing
Rushing
Sacked
Fumbles

Comp
Att
Pct
Yds
Y/A
TD
Int
Rtg
Att
Yds
Avg
TD
Sack
YdsL
Fum
FumL

2005
STL

4
3
76
135
56.3
777
5.8
4
8
58.2
14
64
4.6
2
9
49
3
1

2006
STL

1
0
0
0
0
0
0
0
0
0
3
0
0
0
0
0
0
0

2007
CIN

1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

2008
CIN

13
12
221
372
59.4
1,905
5.1
8
9
70.0
60
304
5.1
2
38
193
11
5

2009
BUF

10
8
127
227
55.9
1,422
6.3
9
10
69.7
31
141
4.5
1
21
127
3
2

2010
BUF

13
13
255
441
57.8
3,000
6.8
23
15
81.8
40
269
6.7
0
24
145
8
5

2011
BUF

16
16
353
569
62.0
3,832
6.7
24
23
79.1
56
215
3.8
0
22
148
7
2

2012
BUF

16
16
306
505
60.6
3,400
6.7
24
16
83.3
48
197
4.1
1
30
161
8
6

2013
TEN

11
9
217
350
62.0
2,454
7.0
14
12
82.0
43
225
5.2
3
21
109
9
2

2014
HOU

12
12
197
312
63.1
2,483
8.0
17
8
95.3
50
184
3.7
2
21
83
5
1

2015
NYJ

16
16
335
562
59.6
3,905
6.9
31
15
88.0
60
270
4.5
2
19
94
5
2

2016
NYJ

14
11
228
403
56.6
2,710
6.7
12
17
69.6
33
130
3.9
0
19
81
9
1

2017
TB

6
3
96
163
58.9
1,103
6.8
7
3
86.0
15
78
5.2
0
7
34
0
0

2018
TB

8
7
164
246
66.7
2,366
9.6
17
12
100.4
36
152
4.2
2
14
76
4
1

Total
141
126
2,575
4,285
60.1
29,357
6.9
190
148
81.1
489
2,229
4.6
15
245
1,300
72
28

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 11th row and the 12th column,
the 17th row and the 6th column,
the 12th row and the 3rd column,
the 8th row and the 13th column,
the 8th row and the 16th column,

Show the cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"11", "column_id":"12", "cell_value":"82.0"}
{"row_id":"17", "column_id":"6", "cell_value":"4,285"}
{"row_id":"12", "column_id":"3", "cell_value":"12"}
{"row_id":"8", "column_id":"13", "cell_value":"40"}
{"row_id":"8", "column_id":"16", "cell_value":"0"}