Table:
factor
%
95% confidence interval

from
to

discomfort or injury involving a laser product

yes
1.1
0.7
1.4

no
98.9
98.5
99.2

discomfort or injury involving laser product-number of times

1 time
44.9
27.6
62.1

2 to 260 times
49.5
32.2
66.7

type of discomfort or injury

skin
41.3
24.1
58.5

eye
59.1
41.9
76.3

length of discomfort or injury

two days or less
63.9
45.2
82.6

more than two days
34.0
15.2
52.9

own use or someone else's

your own use of the device
25.0
12.1
37.8

someone else's use of the device
74.9
62.0
87.7

type of laser that caused injury, excluding medical devices

pointer
26.3
11.7
40.9

cosmetic treatments
39.1
21.7
56.6

survey tool / entertainment / materials processing / scanner / other
34.1
18.4
49.8

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 17th row and the 4th column,
the 7th row and the 2nd column,
the 11th row and the 3rd column,
the 8th row and the 4th column,
the 17th row and the 1st column,
the 20th row and the 2nd column,

Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The extracted cell contents are listed below.
{"row_id":"17", "column_id":"4", "cell_value":"87.7"}
{"row_id":"7", "column_id":"2", "cell_value":"44.9"}
{"row_id":"11", "column_id":"3", "cell_value":"41.9"}
{"row_id":"8", "column_id":"4", "cell_value":"66.7"}
{"row_id":"17", "column_id":"1", "cell_value":"someone else's use of the device"}
{"row_id":"20", "column_id":"2", "cell_value":"39.1"}