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 table image, extract the cell contents located in the 3rd column. Output the cell values in a column as JSON in the format {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cells in the 3rd column: {"column_id": "3", "cell_list": ['Time', '39.998', '1:47.066', '4:11.388', '22:19.816', '37.667', '1:37.071 WB', '3:50.614', '1:36.339', '2:49.541']}