Table:
Place
Shooter
5 pts
4 pts
3 pts
2 pts
1 pts
0 pts
Total
Rank

1

Norway (NOR)
12
16
12
-
-
-
160

Ole Lilloe-Olsen
4
5
1
-
-
-
43
1

Einar Liberg
5
2
3
-
-
-
42
2

Harald Natvig
2
4
4
-
-
-
38
8

Otto Olsen
1
5
4
-
-
-
37
11

2

Sweden (SWE)
8
19
12
1
-
-
154

Alfred Swahn
3
4
3
-
-
-
40
5

Fredric Landelius
2
5
3
-
-
-
39
7

Otto Hultberg
1
6
3
-
-
-
38
8

Mauritz Johansson
2
4
3
1
-
-
37
11

3

United States (USA)
7
17
13
3
-
-
148

John Boles
3
5
2
-
-
-
41
3

Walter Stokes
1
6
3
-
-
-
38
8

Raymond Coulter
2
4
3
1
-
-
37
11

Dennis Fenton
1
2
5
2
-
-
32
16

4

Great Britain (GBR)
8
9
18
3
-
2
136

Cyril Mackworth-Praed
6
-
3
1
-
-
41
3

Alexander Rogers
1
2
5
2
-
-
32
16

John Faunthorpe
-
5
4
-
-
1
32
16

John O'Leary
1
2
6
-
-
1
31
19

5

Finland (FIN)
7
10
15
5
-
3
130

Karl Magnus Wegelius
2
6
2
-
-
-
40
5

Martti Liuttula
3
2
3
2
-
-
36
14

Jalo Autonen
1
1
5
2
-
1
28
21

Toivo Tikkanen
1
1
5
1
-
2
26
22

6

Hungary (HUN)
1
8
17
4
1
9
97

Gusztáv Szomjas
-
4
4
1
-
1
30
20

Rezső Velez
-
1
5
2
-
2
23
23

Elemér Takács
1
2
3
-
1
3
23
23

László Szomjas
-
1
5
1
-
3
21
25

–

Czechoslovakia (TCH)
1
2
6
1
-
-
33

Miloslav Hlaváč
1
2
6
1
-
-
33
15

Based on the provided table, please extract the cells' values located at the specified positions, as 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>"}.
Positions:
the 32th row and the 3rd column
the 12th row and the 8th column
the 18th row and the 1st column
the 15th row and the 8th column
the 30th row and the 10th column
the 20th row and the 8th column
the 28th row and the 6th column
the 27th row and the 3rd column
the 26th row and the 6th column
the 11th row and the 9th column

The extracted cell contents are listed below.
{"row_id":"32", "column_id":"3", "cell_value":"1"}
{"row_id":"12", "column_id":"8", "cell_value":"-"}
{"row_id":"18", "column_id":"1", "cell_value":"4"}
{"row_id":"15", "column_id":"8", "cell_value":"-"}
{"row_id":"30", "column_id":"10", "cell_value":"23"}
{"row_id":"20", "column_id":"8", "cell_value":"1"}
{"row_id":"28", "column_id":"6", "cell_value":"1"}
{"row_id":"27", "column_id":"3", "cell_value":"1"}
{"row_id":"26", "column_id":"6", "cell_value":"1"}
{"row_id":"11", "column_id":"9", "cell_value":"37"}