Table:
mortality
trend analysis

number of deaths
asmr
95% confidence interval
period
annual percent change in asmr
95% confidence interval
p-value

from
to
from
to

all
850
0.60
0.56
0.64
1992 to 2016
0.3
-0.4
1.0
0.417

sex

female
455
0.58
0.52
0.63
1992 to 2016
-0.3
-1.1
0.6
0.487

male
395
0.62
0.56
0.68
1992 to 2016
1.2
0.2
2.3
0.021

age group

44 and younger
25
0.03
0.02
0.05
.
.
.
.
.

45 to 54
55
0.27
0.20
0.35
1992 to 2016
-0.9
-3.0
1.2
0.388

55 to 64
130
0.73
0.61
0.86
1992 to 2016
-0.7
-2.1
0.8
0.357

65 to 74
220
1.89
1.65
2.16
1992 to 2016
0.2
-1.1
1.5
0.763

75 or older
415
4.56
4.13
5.02
1992 to 2016
0.9
0.1
1.7
0.033

province

british columbia
145
0.55
0.46
0.63
1992 to 2016
-0.5
-1.7
0.8
0.451

alberta
110
0.66
0.54
0.79
1992 to 2016
0.3
-1.5
2.2
0.709

saskatchewan
35
0.56
0.38
0.79
1992 to 2016
-0.5
-3.0
2.1
0.702

manitoba
50
0.75
0.55
1.00
1992 to 2016
0.5
-2.1
3.1
0.701

ontario
415
0.58
0.52
0.64
1992 to 2016
0.2
-0.7
1.1
0.687

new brunswick
25
0.57
0.37
0.85
.
.
.
.
.

nova scotia
40
0.73
0.52
1.01
1992 to 2016
2.0
-0.4
4.4
0.100

prince edward island
5
0.58
0.19
1.48
.
.
.
.
.

newfoundland and labrador
25
0.81
0.52
1.22
1992 to 2016
2.6
-0.6
5.8
0.103

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
the 22th row and the 6th column
the 10th row and the 4th column

Return each cell value as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The extracted cell contents are listed below.
{"row_id":"22", "column_id":"6", "cell_value":"."}
{"row_id":"10", "column_id":"4", "cell_value":"0.20"}