Table:
date	opponent	score	loss	attendance	record

april 5	tigers	7 - 0	halladay (0 - 1)	47817	0 - 1

april 6	tigers	7 - 3	batista (0 - 1)	21003	0 - 2

april 7	tigers	6 - 3	hentgen (0 - 1)	13100	0 - 3

april 9	red sox	10 - 5	timlin (0 - 1)	34337	1 - 3

april 10	red sox	4 - 1	halladay (0 - 2)	35305	1 - 4

april 11	red sox	6 - 4 (12)	lã cubicpez (0 - 1)	34286	1 - 5

april 13	tigers	7 - 5	patterson (0 - 1)	8804	2 - 5

april 14	tigers	5 - 3	lilly (0 - 1)	15129	2 - 6

april 15	tigers	11 - 0	johnson (1 - 2)	17572	3 - 6

april 16	orioles	11 - 2	batista (0 - 2)	14239	3 - 7

april 17	orioles	5 - 3	speier (1 - 1)	20177	3 - 8

april 18	orioles	7 - 0	hentgen (0 - 2)	16842	3 - 9

april 20	red sox	4 - 2	halladay (1 - 3)	26010	3 - 10

april 21	red sox	4 - 2	lilly (0 - 2)	16163	3 - 11

april 22	red sox	7 - 3	schilling (2 - 1)	16480	4 - 11

april 23	orioles	11 - 3	towers (0 - 1)	26827	4 - 12

april 24	orioles	5 - 4 (12)	dejean (0 - 1)	41093	5 - 12

april 25	orioles	15 - 3	ponson (2 - 1)	31028	6 - 12

april 26	twins	6 - 1	radke (2 - 2)	13859	7 - 12

april 27	twins	7 - 4	speier (1 - 2)	14029	7 - 13

april 28	twins	9 - 5	frasor (0 - 1)	15164	7 - 14

april 29	white sox	6 - 4	nakamura (0 - 1)	11210	7 - 15

april 30	white sox	postponed (rain) rescheduled for may 1	postponed (rain) rescheduled for may 1	postponed (rain) rescheduled for may 1	postponed (rain) rescheduled for may 1

Considerding the provided table image, extract the cells' values in the following postions:
the 12th row and the 6th column,
the 3rd row and the 4th column,
the 16th row and the 4th column,
the 20th row and the 1st column,
the 19th row and the 1st column,

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

The target cell values are as follows:
{"row_id":"12", "column_id":"6", "cell_value":"3 - 8"}
{"row_id":"3", "column_id":"4", "cell_value":"batista (0 - 1)"}
{"row_id":"16", "column_id":"4", "cell_value":"schilling (2 - 1)"}
{"row_id":"20", "column_id":"1", "cell_value":"april 26"}
{"row_id":"19", "column_id":"1", "cell_value":"april 25"}