Table:
Year

Team

Games

Passing

Rushing

Fumbles

GP
GS
Cmp
Att
Pct
Yds
Avg
TD
INT
Rate
Att
Yds
Avg
Lng
TD
Fum
Lost

2011
CAR
16
16
310
517
60.0
4,051
7.8
21
17
84.5
126
706
5.6
49T
14
5
2

2012
CAR
16
16
280
485
57.7
3,869
8.0
19
12
86.2
127
741
5.8
72T
8
10
3

2013
CAR
16
16
292
473
61.7
3,379
7.1
24
13
88.8
111
585
5.3
56
6
3
1

2014
CAR
14
14
262
448
58.5
3,127
7.0
18
12
82.1
103
539
5.2
22
5
12
5

2015
CAR
16
16
296
495
59.8
3,837
7.8
35
10
99.4
132
636
4.8
47
10
5
4

2016
CAR
15
14
270
510
52.9
3,509
6.9
19
14
75.8
90
359
4.0
28
5
3
2

2017
CAR
16
16
291
492
59.1
3,302
6.7
22
16
80.7
139
754
5.4
69
6
9
1

2018
CAR
14
14
320
471
67.5
3,395
7.2
24
13
94.2
101
488
4.8
29
4
6
0

Totals
123
122
2,321
3,891
59.7
28,469
7.3
182
107
86.4
929
4,808
5.2
72T
58
50
18

Examine the given table and identify the contents of cells located at specified locations, denoted by row and column indices. Output each cell content as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Specified positions:
row 9 and column 3
row 2 and column 5
row 3 and column 13
row 5 and column 3

The extracted cell contents are listed below.
{"row_id":"9", "column_id":"3", "cell_value":"16"}
{"row_id":"2", "column_id":"5", "cell_value":"cmp"}
{"row_id":"3", "column_id":"13", "cell_value":"126"}
{"row_id":"5", "column_id":"3", "cell_value":"16"}