Table:
percentage of gig workers
share of all workers

men
women
men
women

percent
share

2016 noc

unclassified - did not work
8.6
9.8
6.0
7.9

0 - management occupations
10.0
5.3
6.1
6.5

1 - business, finance and administration occupations
10.8
17.0
9.4
7.5

2 - natural and applied sciences and related occupations
7.5
1.8
5.7
5.8

3 - health occupations
5.5
11.5
16.6
10.3

4 - occupations in education, law and social, community and government services
8.8
20.3
9.5
12.3

5 - occupations in art, culture, recreation and sport
8.1
9.1
24.2
26.6

6 - sales and service occupations
16.2
22.1
6.7
8.3

7 - trades, transport and equipment operators and related occupations
19.6
1.3
6.0
7.3

8 - natural resources, agriculture and related production occupations
2.5
0.7
5.6
8.1

9 - occupations in manufacturing and utilities
2.4
1.0
3.1
3.7

statistics canada classification

unclassified
8.6
9.8
6.0
7.9

management
10.0
5.3
6.1
6.5

professional
24.7
24.4
12.2
12.0

technical and paraprofessional
10.2
14.8
8.8
13.3

administration and administrative support
5.0
13.3
6.6
7.1

sales
7.3
6.5
7.1
5.9

personal and customer information services
9.7
22.8
6.4
10.3

industrial, construction and equipment operation
10.2
0.5
5.7
8.9

workers and labourers
9.4
0.8
6.4
6.6

natural resources, agriculture, etc
2.5
0.7
5.6
8.1

occupations in manufacturing and utilities
2.4
1.0
3.1
3.7

Please extract and show the values of the cells in column 3 of this table. Output the cell values in a column as JSON in the format {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The target cell values of column 3: {"column_id": "3", "cell_list": ['', 'women', '', '', '9.8', '5.3', '17.0', '1.8', '11.5', '20.3', '9.1', '22.1', '1.3', '0.7', '1.0', '', '9.8', '5.3', '24.4', '14.8', '13.3', '6.5', '22.8', '0.5', '0.8', '0.7', '1.0']}