Table:
Club	Season	League	National Cup	League Cup	Continental	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Sheffield United	2000–01	First Division	27	0	1	0	1	0	–	29	0

2001–02	31	2	1	0	0	0	–	32	2

2002–03	23	0	3	0	6	1	–	0	0	32	1

2003–04	36	3	4	0	1	0	–	41	3

2004–05	Championship	25	1	5	0	3	0	–	33	1

2005–06	39	1	1	0	0	0	–	40	1

2006–07	Premier League	26	0	1	0	1	1	–	28	1

2007–08	Championship	20	0	1	0	2	0	–	23	0

2008–09	28	0	3	0	1	0	–	3	0	35	0

2009–10	39	1	3	0	1	0	–	43	1

2010–11	35	0	0	0	1	0	–	36	0

2011–12	League One	22	1	1	0	1	0	–	1	0	25	1

Sheffield United total	351	9	24	0	18	2	–	4	0	397	11

Millwall (loan)	2011–12	Championship	2	0	0	0	0	0	–	2	0

Central Coast Mariners	2012–13	A-League	26	1	–	7	0	–	33	1

2013–14	26	0	–	5	0	–	31	0

2014–15	20	1	2	0	–	1	0	–	23	1

2015–16	22	0	1	0	–	0	0	–	23	0

2016–17	22	1	1	0	–	0	0	–	23	1

Mariners total	116	3	4	0	–	13	0	–	135	3

Wollongong Wolves	2017	National Premier Leagues NSW	3	1	0	0	0	0	–	3	1

Career total	473	12	28	0	18	2	13	0	4	0	536	14

Given a table image, your task is to extract the cells' values in the following rows or columns:
column 7,
row 6,
row 3,

Task requirements: Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.

The cell values of target rows or columns are as follows:
For column 7: {"column_id": "7", "cell_list": ['', 'goals', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '', '', '0', '0', '0', '0', '0', '0']}
For row 6: {"row_id": "6", "cell_list": ['', '2003-04', '', '36', '3', '4', '0', '1', '0', '-', '', '41', '3', 'none', 'none']}
For row 3: {"row_id": "3", "cell_list": ['sheffield united', '2000-01', 'first division', '27', '0', '1', '0', '1', '0', '-', '', '29', '0', 'none', 'none']}