Table:
business age
first nations
inuit
non-indigenous comparison group

non-employer
employer
non-employer
employer
non-employer
employer

percent

goods

born last 5 years
30.6
11.6
78.9
6.5
19.4
10.7

born between 5 and 10 years
21.7
19.7
16.3
22.1
46.3
13.5

born more than 10 years
47.7
68.6
4.8
71.5
34.3
75.7

all age groups
100.0
100.0
100.0
100.0
100.0
100.0

goods

born last 5 years
24.7
9.1
5.6
x
21.0
13.0

born between 5 and 10 years
24.9
11.6
7.5
x
23.2
13.2

born more than 10 years
50.4
79.4
86.9
x
55.8
73.8

all age groups
100.0
100.0
100.0
100.0
100.0
100.0

service

born last 5 years
20.6
27.5
38.9
26.9
25.6
14.3

born between 5 and 10 years
24.9
13.1
22.2
2.4
33.7
11.3

born more than 10 years
54.5
59.4
38.9
70.7
40.7
74.4

all age groups
100.0
100.0
100.0
100.0
100.0
100.0

unassigned

born last 5 years
28.4
37.7
59.3
x
44.4
43.4

born between 5 and 10 years
54.8
7.8
25.3
x
19.4
22.0

born more than 10 years
16.8
54.5
15.5
..
36.2
34.6

all age groups
100.0
100.0
100.0
100.0
100.0
100.0

Can you extract and list the values from these specific rows or columns in the table?
row 12,
column 3,
row 7,
row 10,

Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The extracted row or column contents are listed below.
For row 12: {"row_id": "12", "cell_list": ['born more than 10 years', '50.4', '79.4', '86.9', 'x', '55.8', '73.8']}
For column 3: {"column_id": "3", "cell_list": ['', 'employer', '', '', '11.6', '19.7', '68.6', '100.0', '', '9.1', '11.6', '79.4', '100.0', '', '27.5', '13.1', '59.4', '100.0', '', '37.7', '7.8', '54.5', '100.0']}
For row 7: {"row_id": "7", "cell_list": ['born more than 10 years', '47.7', '68.6', '4.8', '71.5', '34.3', '75.7']}
For row 10: {"row_id": "10", "cell_list": ['born last 5 years', '24.7', '9.1', '5.6', 'x', '21.0', '13.0']}