Table:
source of funds and r&d field
all institutions
survey population

short form
standard form

all r&d expenditures
71971736
138428
71833308

by source of funds

federal government
38860649
67107
38793542

state and local government
4033779
8499
4025280

institution funds
18014538
39576
17974962

institutionally financed research
11505260
34173
11471087

cost sharing
1432876
2043
1430833

unrecovered indirect costs
5076402
3360
5073042

business
4215883
5320
4210563

nonprofit organizations
4628526
13726
4614800

all other sources
2218361
4200
2214161

by r&d field

science
56392202
101540
56290662

computer and information sciencesa
2082275
4391
2077884

geosciences, atmospheric, and ocean sciencesa
3095606
7832
3087774

life sciences
40933821
45971
40887850

mathematics and statisticsa
686061
4400
681661

physical sciences
4913289
19724
4893565

psychology
1222859
4138
1218721

social sciences
2374649
8078
2366571

sciences, nec
1083642
7006
1076636

engineering
11394686
12959
11381727

non-s&e
4184848
23929
4160919

Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. Represent each cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}. For instance, {"row_id":"5", "column_id":"4", "cell_value":"missouri 4"}.
Positions:
the 21th row and the 3rd column
the 25th row and the 1st column
the 11th row and the 3rd column

The extracted cell contents are listed below.
{"row_id":"21", "column_id":"3", "cell_value":"4138"}
{"row_id":"25", "column_id":"1", "cell_value":"non-s&e"}
{"row_id":"11", "column_id":"3", "cell_value":"5320"}