Table:
Episode

Show #

Iron Chef

Challenger

Challenger specialty

Secret ingredient(s) or theme

Winner

Final score[7]

1

IA0502

Bobby Flay

Ben Ford

Regional American

Blue foot chicken

Bobby Flay

44-35

2

IA0508

Mario Batali

Tony Liu

Pan-European

Opah

Mario Batali

55-47

3

IA0509

Cat Cora

Alexandra Guarnaschelli

French-American

Farmers' Market[21]

Cat Cora

45-41

4

IA0501

Mario Batali

Andrew Carmellini

Urban Italian

Parmigiano-Reggiano

Mario Batali

56-55

5

IA0504

Cat Cora

Mark Tarbell

Seasonal Organic

Apples

Mark Tarbell

50-44

6

IA0506

Bobby Flay

Kurt Boucher

French-American

Arctic char

Bobby Flay

46-39

7

IA0510

Mario Batali

Charles Clark

New American

Halibut

Mario Batali

51-50

8

IA0507

Cat Cora

Mary Dumont

French-American

Milk and cream

Cat Cora

51-46

9[22]

IASP07

Michael Symon

Ricky Moore

Contemporary American[23]

Traditional Thanksgiving[24]

Michael Symon

51-43

10[25]

IASP08

Cat Cora & Paula Deen

Tyler Florence & Robert Irvine

Southern (Deen), Contemporary American (Florence), International (Irvine)

Sugar

Cat Cora & Paula Deen

49-47

11

IA0503

Cat Cora

Todd Richards

Modern Southern

Carrots

Cat Cora

48-46

12[26]

IA0505

Masaharu Morimoto

Fortunato Nicotra

Seasonal Italian

Kampachi

Masaharu Morimoto

59-50

Based on the table image, your task is to extract the cells' values in the 8th column. Show the cells in a column in the JSON format {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}. For example, {"column_id":"6", "cell_list": ["A", "B", "C"]}.

The target cell values of the 8th column: {"column_id": "8", "cell_list": ['Final score', '44-35', '55-47', '45-41', '56-55', '50-44', '46-39', '51-50', '51-46', '51-43', '49-47', '48-46', '59-50']}