Table:
Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Corinthians

2011

Série A

0
0
0
0
0
0
0
0
0
0

2012

8
0
0
0
0
0
1[a]
0
9
0

2013

2
0
0
0
0
0
6[a]
0
8
0

Total

10
0
0
0
0
0
7
0
17
0

Portuguesa

2013

Série A

13
0
0
0
2[b]
0
0
0
15
0

Chapecoense

2014

2
0
1
0
0
0
13[c]
1
15
1

Atlético Goianiense

2014

Série B

13
0
0
0
0
0
0
0
13
0

Botafogo

2015

35
5
4
1
0
0
19[d]
1
58
7

Flamengo

2016

Série A

37
4
4
0
2[b]
0
19[e]
3
62
7

2017

30
1
6
0
16[f]
4
15[g]
4
67
9

2018

23
2
3
0
3[h]
0
3[d]
0
32
2

2019

0
0
0
0
0
0
0
0
0
0

Total

90
7
12
0
21
4
36
7
161
18

Career total

148
10
16
0
23
4
75
9
262
26

Based on the provided table, please extract the cells' values located at the specified positions, as denoted by row and column indices. Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
the 8th row and the 13th column,
the 16th row and the 11th column,
the 7th row and the 12th column,
the 7th row and the 1st column,
the 12th row and the 4th column,
the 7th row and the 6th column,
the 3rd row and the 13th column,

The target cell values are as follows:
{"row_id":"8", "column_id":"13", "cell_value":"1"}
{"row_id":"16", "column_id":"11", "cell_value":"9"}
{"row_id":"7", "column_id":"12", "cell_value":"15"}
{"row_id":"7", "column_id":"1", "cell_value":"portuguesa"}
{"row_id":"12", "column_id":"4", "cell_value":"30"}
{"row_id":"7", "column_id":"6", "cell_value":"0"}
{"row_id":"3", "column_id":"13", "cell_value":"0"}