Table:
Game
Date
Team
Score
High points
High rebounds
High assists
Location
Attendance
Record

45
February 5
@ Cleveland
113–114
Allen (24)
Rondo (7)
Allen (5)
Quicken Loans Arena
20,562
36–9

46
February 6
L. A. Clippers
111–100
Rondo (24)
Powe (10)
Rondo (8)
TD Banknorth Garden
18,624
37–9

47
February 8
@ Minnesota
88–86
Pierce (18)
Powe (8)
Pierce (6)
Target Center
19,511
38–9

48
February 10
San Antonio
98–90
Pierce (35)
Rondo (11)
Rondo (12)
TD Banknorth Garden
18,624
39–9

49
February 12
@ Indiana
104–97
Pierce (28)
Pierce (12)
Rondo (7)
Conseco Fieldhouse
13,603
40–9

50
February 13
New York
111–103
Pierce (24)
Posey (11)
Pierce (7)
TD Banknorth Garden
18,624
41–9

51
February 19
@ Denver
118–124
Pierce (24)
Powe (11)
Pierce (7)
Pepsi Center
19,894
41–10

52
February 20
@ Golden State
117–119
Allen (32)
Garnett (15)
Allen, Rondo (6)
Oracle Arena
20,711
41–11

53
February 22
@ Phoenix
77–85
Garnett (19)
Perkins, Pierce (6)
Garnett (4)
US Airways Center
18,422
41–12

54
February 24
@ Portland
112–102
Pierce (30)
Garnett, Pierce (7)
Rondo (8)
Rose Garden
20,554
42–12

55
February 25
@ L. A. Clippers
104–76
Pierce, Posey (17)
Perkins (9)
Allen (7)
Staples Center
19,328
43–12

56
February 27
Cleveland
92–87
Allen (22)
Garnett (11)
Rondo (8)
TD Banknorth Garden
18,624
44–12

57
February 29
Charlotte
108–100
Allen (23)
Garnett, Perkins (9)
Rondo (16)
TD Banknorth Garden
18,624
45–12

Inspect the given table and provide the contents of specific rows. The cells in a row should be presented in the JSON format of {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.
Needed rows:
row 12
row 5
row 9
row 11

The cell values of target rows are as follows:
For row 12: {"row_id": "12", "cell_list": ['55', 'february 25', 'la clippers', '104 - 76', 'pierce , posey (17)', 'perkins (9)', 'allen (7)', 'staples center 19328', '43 - 12']}
For row 5: {"row_id": "5", "cell_list": ['48', 'february 10', 'san antonio', '98 - 90', 'pierce (35)', 'rondo (11)', 'rondo (12)', 'td banknorth garden 18624', '39 - 9']}
For row 9: {"row_id": "9", "cell_list": ['52', 'february 20', 'golden state', '117 - 119', 'allen (32)', 'garnett (15)', 'allen , rondo (6)', 'oracle arena 20711', '41 - 11']}
For row 11: {"row_id": "11", "cell_list": ['54', 'february 24', 'portland', '112 - 102', 'pierce (30)', 'garnett , pierce (7)', 'rondo (8)', 'rose garden 20554', '42 - 12']}