Table:
gaspesie iles-de-la-madeleine
estrie
montegerie
montreal - laval
laurentides
outaouais
abitibi-temiscamingue nord-du-quebec

english-language workers
other workers
english-language workers
other workers
english-language workers
other workers
english-language workers
other workers
english-language workers
other workers
english-language workers
other workers
english-language workers
other workers

percent

place of birth

born in the province of residence
84.8
96.6
64.5
93.2
54.4
91.2
43.3
64.2
66.5
93.7
29.7
77.5
75.4
96.3

born in another province
7.1
2.6
7.7
0.7
4.6
1.5
6.5
1.5
12.4
2.1
41.7
15.2
21.0
2.7

born outside of canada
1.8
0.4
25.1
5.7
37.9
7.3
50.1
34.3
20.0
4.1
27.3
7.1
3.4
0.9

religion

anglican
34.8
0.0
12.6
0.0
4.9
0.1
1.6
0.1
4.5
0.0
3.6
0.0
0.0
1.1

catholic
50.0
96.7
34.4
82.4
37.0
82.5
33.4
57.6
44.7
85.5
40.2
80.7
57.3
86.3

pentecostal
0.0
0.0
0.0
0.1
0.4
0.2
1.2
0.7
0.0
0.0
0.4
0.3
10.6
0.6

presbyterian
0.0
0.0
0.0
0.0
0.9
0.0
0.4
0.0
0.0
0.0
0.0
0.0
8.7
0.0

united church
3.6
0.0
3.8
0.0
3.7
0.0
0.8
0.0
1.9
0.0
4.1
0.0
0.0
0.0

other christian
0.0
0.0
13.7
2.4
16.3
2.6
19.4
9.1
19.4
1.6
12.2
3.8
0.0
1.5

buddhist, hindu, jewish, muslim and sikh
0.0
0.0
7.4
1.3
11.6
2.1
22.5
12.5
6.9
0.9
6.4
1.4
5.0
0.0

other religions
0.0
0.0
0.0
0.0
0.2
0.1
0.4
0.1
0.0
0.0
0.4
0.0
1.1
0.0

no religious affiliation
1.8
2.4
15.3
12.9
24.2
12.1
20.1
19.8
17.3
11.6
29.6
13.2
10.1
9.8

Examine the given table and identify the contents of cells located at specified locations, 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>"}.
Specified positions:
row 6 and column 4
row 15 and column 10
row 9 and column 12
row 16 and column 2
row 14 and column 12
row 2 and column 12
row 15 and column 9

The extracted cell contents are listed below.
{"row_id":"6", "column_id":"4", "cell_value":"7.7"}
{"row_id":"15", "column_id":"10", "cell_value":"6.9"}
{"row_id":"9", "column_id":"12", "cell_value":"3.6"}
{"row_id":"16", "column_id":"2", "cell_value":"0.0"}
{"row_id":"14", "column_id":"12", "cell_value":"12.2"}
{"row_id":"2", "column_id":"12", "cell_value":"english-language workers"}
{"row_id":"15", "column_id":"9", "cell_value":"12.5"}