Table:
Event

Gold

Time

Silver

Time

Bronze

Time

K–1 200 m[45]

Lisa Carrington (NZL)
39.998

Marta Walczykiewicz (POL)
40.472

Inna Osypenko-Radomska (UKR)
40.670

K–1 500 m[46]

Nicole Reinhardt (GER)
1:47.066

Danuta Kozák (HUN)
1:47.396

Inna Osypenko-Radomska (UKR)
1:48.668

K–1 1000 m[47]

Tamara Csipes (HUN)
4:11.388

Krisztina Fazekas Zur (USA)
4:13.470

Naomi Flood (AUS)
4:14.124

K–1 5000 m[48]

Tamara Csipes (HUN)
22:19.816

Lani Belcher (GBR)
22:26.572

Maryna Paltaran (BLR)
22:37.294

K–2 200 m[49]

Hungary
Katalin Kovács
Danuta Kozák
37.667

Poland
Karolina Naja
Magdalena Krukowska
38.165

Australia
Joanne Brigden-Jones
Hannah Davis
38.369

K–2 500 m[50]

Austria
Yvonne Schuring
Viktoria Schwarz
1:37.071 WB

Germany
Franziska Weber
Tina Dietze
1:37.275

Poland
Beata Mikołajczyk
Aneta Konieczna
1:37.803

K–2 1000 m[51]

Germany
Anne Knorr
Debora Niche
3:50.614

Bulgaria
Berenike Faldum
Daniela Nedeva
3:50.950

Hungary
Alíz Sarudi
Erika Medveczky
3:53.416

K–4 500 m[52]

Hungary
Gabriella Szabó
Danuta Kozák
Katalin Kovács
Dalma Benedek
1:36.339

Germany
Carolin Leonhardt
Silke Hörmann
Franziska Weber
Tina Dietze
1:37.521

Belarus
Iryna Pamialova
Nadzeya Papok
Volha Khudzenka
Maryna Paltaran
1:37.887

K–1 4x200 m Relay[53]

Germany
Nicole Reinhardt
Conny Wassmuth
Tina Dietze
Carolin Leonhardt
2:49.541

Russia
Natalia Lobova
Anastasiya Sergeeva
Natalia Proskurina
Svetlana Kudinova
2:50.207

Poland
Marta Walczykiewicz
Karolina Naja
Aneta Konieczna
Ewelina Wojnarowska
2:50.951

Based on the provided table, please extract the cells' values located at the specified positions, as denoted by row and column indices. Output each cell content as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
the 3rd row and the 2nd column,
the 8th row and the 1st column,
the 4th row and the 7th column,
the 8th row and the 4th column,
the 5th row and the 4th column,
the 6th row and the 4th column,
the 5th row and the 1st column,
the 5th row and the 6th column,
the 10th row and the 3rd column,

The extracted cell contents are listed below.
{"row_id":"3", "column_id":"2", "cell_value":"Nicole Reinhardt (GER)"}
{"row_id":"8", "column_id":"1", "cell_value":"K–2 1000 m"}
{"row_id":"4", "column_id":"7", "cell_value":"4:14.124"}
{"row_id":"8", "column_id":"4", "cell_value":"Bulgaria\nBerenike Faldum\nDaniela Nedeva"}
{"row_id":"5", "column_id":"4", "cell_value":"Lani Belcher (GBR)"}
{"row_id":"6", "column_id":"4", "cell_value":"Poland\nKarolina Naja\nMagdalena Krukowska"}
{"row_id":"5", "column_id":"1", "cell_value":"K–1 5000 m"}
{"row_id":"5", "column_id":"6", "cell_value":"Maryna Paltaran (BLR)"}
{"row_id":"10", "column_id":"3", "cell_value":"2:49.541"}