Table:
Month	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec	Year

Average high °F (°C)	37.1

(2.8)	39.7

(4.3)	47.2

(8.4)	57.6

(14.2)	67.6

(19.8)	77.0

(25)	82.1

(27.8)	80.8

(27.1)	74.0

(23.3)	63.2

(17.3)	53.1

(11.7)	42.3

(5.7)	60.1

(15.6)

Average low °F (°C)	23.1

(−4.9)	25.2

(−3.8)	31.4

(−0.3)	41.0

(5)	50.5

(10.3)	60.2

(15.7)	66.3

(19.1)	65.6

(18.7)	58.0

(14.4)	46.4

(8)	37.9

(3.3)	28.4

(−2)	44.5

(6.9)

Precipitation inches (mm)	3.10

(78.7)	2.79

(70.9)	4.04

(102.6)	4.13

(104.9)	3.80

(96.5)	3.64

(92.5)	3.46

(87.9)	3.96

(100.6)	3.48

(88.4)	3.64

(92.5)	3.39

(86.1)	3.33

(84.6)	42.75

(1,085.9)

Snowfall inches (cm)	6.8

(17.3)	5.7

(14.5)	3.2

(8.1)	.8

(2)	0

(0)	0

(0)	0

(0)	0

(0)	0

(0)	0

(0)	.2

(0.5)	4.8

(12.2)	21.4

(54.4)

Avg. precipitation days (≥ 0.01 inch)	10.9	9.7	11.3	11.0	11.8	11.1	8.9	8.9	8.2	8.8	10.0	11.1	121.7

Avg. snowy days (≥ 0.1 inch)	5.0	3.6	2.4	.3	0	0	0	0	0	0	.5	3.1	15.0

Inspect the given table and provide the values of cells found at the specified positions, determined by row and column indices. Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
row 4 and column 9
row 1 and column 10
row 4 and column 10
row 4 and column 12
row 2 and column 3
row 6 and column 12
row 1 and column 8

The extracted cell contents are listed below.
{"row_id":"4", "column_id":"9", "cell_value":"3.96\n(100.6)"}
{"row_id":"1", "column_id":"10", "cell_value":"Sep"}
{"row_id":"4", "column_id":"10", "cell_value":"3.48\n(88.4)"}
{"row_id":"4", "column_id":"12", "cell_value":"3.39\n(86.1)"}
{"row_id":"2", "column_id":"3", "cell_value":"39.7\n(4.3)"}
{"row_id":"6", "column_id":"12", "cell_value":"10.0"}
{"row_id":"1", "column_id":"8", "cell_value":"Jul"}