Table:
province and territories
females
males
total

number
rate
number
rate
number
rate

newfoundland and labrador
3
0.1
37
1.5
40
0.8

prince edward island
2
0.3
4
0.6
6
0.4

nova scotia
20
0.4
151
3.4
171
1.9

new brunswick
7
0.2
93
2.6
100
1.4

quebec
59
0.2
686
1.8
745
1.0

ontario
227
0.3
1,823
2.9
2,050
1.6

manitoba
104
1.8
573
9.9
677
5.8

saskatchewan
53
1.0
417
8.2
470
4.6

alberta
114
0.6
892
4.8
1,006
2.7

british columbia
70
0.3
660
3.0
730
1.7

yukon
3
1.8
13
7.5
16
4.7

northwest territories
6
3.1
25
12.3
31
7.8

nunavut
11
8.1
36
24.5
47
16.6

canada
679
0.4
5,410
3.3
6,089
1.8

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.
Target rows or columns:
the 13th row
the 1st row
the 15th row
the 7th column

The extracted row or column contents are listed below.
For the 13th row: {"row_id": "13", "cell_list": ['yukon', '3', '1.8', '13', '7.5', '16', '4.7']}
For the 1st row: {"row_id": "1", "cell_list": ['province and territories', 'females', '', 'males', '', 'total', '']}
For the 15th row: {"row_id": "15", "cell_list": ['nunavut', '11', '8.1', '36', '24.5', '47', '16.6']}
For the 7th column: {"column_id": "7", "cell_list": ['', 'rate', '0.8', '0.4', '1.9', '1.4', '1.0', '1.6', '5.8', '4.6', '2.7', '1.7', '4.7', '7.8', '16.6', '1.8']}