Table:
children
youth
p-value

n = 2,773
n = 1,477

percent
lcl
ucl
percent
lcl
ucl

demographic variables

girls
48.7
47.5
49.9
48.8
46.6
50.9
0.95

household education
87.1
84.3
89.9
85.5
81.7
89.3
0.37

family status
85.4
82.9
87.8
78.2
73.9
89.5
<0.05

bmi z-score
0.4
0.0
..
0.4
0.1
..
0.25

independent variables

met all three guideline reccomendations
13.9
11.4
16.4
4.8
2.6
7.1
<0.05

met two or more guideline reccomendations
57.4
53.9
61.0
29.9
25.4
34.4
<0.05

met one or more guideline reccomendations
93.0
91.4
94.6
80.5
76.1
84.8
<0.05

physical activity and screen time
15.6
12.9
18.3
6.0
3.8
8.1
<0.05

sleep and physical activity
40.9
37.0
44.8
16.7
13.2
20.3
<0.05

sleep and screen time
28.7
25.5
31.8
16.9
13.2
20.5
<0.05

screen time reccomendation met
32.6
29.3
35.0
24.7
21.1
28.2
<0.05

physical activity reccomendation met
47.7
43.5
51.8
25.8
21.1
30.5
<0.05

sleep reccomendation met
84.0
81.5
86.6
64.7
60.2
69.2
<0.05

dependent variables

not stressed
..
..
..
84.0
79.4
88.6
..

very good to excellent general mental health
..
..
..
77.8
74.3
81.3
..

not at risk, strenghts and difficulties questionnaire
87.1
84.5
89.6
87.5
83.8
91.2
0.80

Your task:
Look at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'value': '<cell value>', 'location': (row_id, column_id)}, with row and column id beginning from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.
Target cells:
1. '3,705',
2. '520',
3. '455',
4. '8.1',

The target cell locations are as follows:
1. {'value': '3,705', 'location': 'DOES NOT EXIST'}
2. {'value': '520', 'location': 'DOES NOT EXIST'}
3. {'value': '455', 'location': 'DOES NOT EXIST'}
4. {'value': '8.1', 'location': (13, 7)}