Table:
World population

1980

1975

1985

World

4,434,682,000

4,068,109,000

366,573,000

4,830,979,000

396,297,000

Africa

469,618,000

408,160,000

61,458,000

541,814,000

72,196,000

Asia

2,632,335,000

2,397,512,000

234,823,000

2,887,552,000

255,217,000

Europe

692,431,000

675,542,000

16,889,000

706,009,000

13,578,000

Latin-America
& Caribbean

361,401,000

321,906,000

39,495,000

401,469,000

40,068,000

North
America

256,068,000

243,425,000

12,643,000

269,456,000

13,388,000

Oceania

22,828,000

21,564,000

1,264,000

24,678,000

1,850,000

Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. Return each cell value as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
row 1 and column 5,
row 7 and column 6,
row 8 and column 6,
row 3 and column 1,
row 8 and column 3,
row 3 and column 2,
row 6 and column 4,
row 4 and column 3,

The extracted cell contents are listed below.
{"row_id":"1", "column_id":"5", "cell_value":"1985"}
{"row_id":"7", "column_id":"6", "cell_value":"13,388,000"}
{"row_id":"8", "column_id":"6", "cell_value":"1,850,000"}
{"row_id":"3", "column_id":"1", "cell_value":"Africa"}
{"row_id":"8", "column_id":"3", "cell_value":"21,564,000"}
{"row_id":"3", "column_id":"2", "cell_value":"469,618,000"}
{"row_id":"6", "column_id":"4", "cell_value":"39,495,000"}
{"row_id":"4", "column_id":"3", "cell_value":"2,397,512,000"}