Table:
Club statistics[1]

Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Independiente

1997–98

Argentine Primera División

5
0
0
0
—
0
0
5
0

Toros Neza

2000–01

Primera División A

15
1
0
0
—
0
0
15
1

América de Cali

2001

Categoría Primera A

3
0
0
0
0
0
0
0
3
0

Argentinos Juniors

2001–02

Argentine Primera División

33
1
0
0
—
0
0
33
1

Nueva Chicago

2002–03

34
1
0
0
—
0
0
34
1

2005–06

Primera B Nacional

9
0
0
0
—
0
0
9
0

Total

43
1
0
0
—
0
0
43
1

Jorge Wilstermann

2006

Bolivian Primera División

8
0
0
0
—
0
0
8
0

Alumni

2007–08

Torneo Argentino A

22
1
0
0
—
0
0
22
1

Tiro Federal

2008–09

Torneo Argentino B

15
1
0
0
—
0
0
15
1

Career total

144
5
0
0
0
0
0
0
144
5

Considerding the provided table image, extract the cells' values in the following postions:
row 13 and column 7,
row 13 and column 1,
row 6 and column 6,
row 2 and column 6,
row 5 and column 10,
row 13 and column 12,
row 10 and column 2,

Provide the value of all target cells in the JSON structure, using the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"13", "column_id":"7", "cell_value":"0"}
{"row_id":"13", "column_id":"1", "cell_value":"career total"}
{"row_id":"6", "column_id":"6", "cell_value":"0"}
{"row_id":"2", "column_id":"6", "cell_value":"apps"}
{"row_id":"5", "column_id":"10", "cell_value":"0"}
{"row_id":"13", "column_id":"12", "cell_value":"144"}
{"row_id":"10", "column_id":"2", "cell_value":"2006"}