Table:
province or territory
reported
unfounded
founded
cleared

number
number
percent
number
rate
number
percent

newfoundland and labrador

2016
347
42
12.1
305
57.5
108
35.4

2017
387
46
11.9
341
64.5
115
33.7

prince edward island

2016
103
31
30.1
72
48.2
35
48.6

2017
99
24
24.2
75
49.3
36
48.0

nova scotia

2016
809
175
21.6
634
66.8
314
49.5

2017
903
151
16.7
752
78.8
295
39.2

new brunswick

2016
559
123
22.0
436
57.6
286
65.6

2017
655
134
20.5
521
68.6
302
58.0

quebec

2016
5,201
757
14.6
4,444
53.4
2,923
65.8

2017
5,978
580
9.7
5,398
64.3
3,027
56.1

ontario

2016
9,813
2,200
22.4
7,613
54.5
4,298
56.5

2017
10,392
1,498
14.4
8,894
62.7
4,947
55.6

manitoba

2016
1,701
276
16.2
1,425
108.1
801
56.2

2017
1,675
228
13.6
1,447
108.1
823
56.9

saskatchewan

2016
1,367
179
13.1
1,188
103.4
551
46.4

2017
1,313
164
12.5
1,149
98.7
618
53.8

alberta

2016
3,355
589
17.6
2,766
65.3
1,262
45.6

2017
3,470
477
13.7
2,993
69.8
1,299
43.4

british columbia

2016
2,837
525
18.5
2,312
48.6
1,263
54.6

2017
3,190
482
15.1
2,708
56.2
1,381
51.0

yukon

2016
97
15
15.5
82
215.3
48
58.5

2017
84
15
17.9
69
179.4
41
59.4

northwest territories

2016
174
35
20.1
139
311.5
94
67.6

2017
203
34
16.7
169
379.6
111
65.7

nunavut

2016
194
31
16.0
163
438.4
126
77.3

2017
202
46
22.8
156
410.6
130
83.3

canada

2016
26,557
4,978
18.7
21,579
59.5
12,109
56.1

2017
28,551
3,879
13.6
24,672
67.2
13,125
53.2

Examine the given table and extract the contents of in the specific rows or columns, denoted by row or column indices. 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"]}.
Specified rows or columns:
row 20,
column 3,
row 38,
row 16,
column 7,
row 15,

The cell values of target rows or columns are as follows:
For row 20: {"row_id": "20", "cell_list": ['2017', '10,392', '1,498', '14.4', '8,894', '62.7', '4,947', '55.6']}
For column 3: {"column_id": "3", "cell_list": ['unfounded', 'number', '', '42', '46', '', '31', '24', '', '175', '151', '', '123', '134', '', '757', '580', '', '2,200', '1,498', '', '276', '228', '', '179', '164', '', '589', '477', '', '525', '482', '', '15', '15', '', '35', '34', '', '31', '46', '', '4,978', '3,879']}
For row 38: {"row_id": "38", "cell_list": ['2017', '203', '34', '16.7', '169', '379.6', '111', '65.7']}
For row 16: {"row_id": "16", "cell_list": ['2016', '5,201', '757', '14.6', '4,444', '53.4', '2,923', '65.8']}
For column 7: {"column_id": "7", "cell_list": ['cleared', 'number', '', '108', '115', '', '35', '36', '', '314', '295', '', '286', '302', '', '2,923', '3,027', '', '4,298', '4,947', '', '801', '823', '', '551', '618', '', '1,262', '1,299', '', '1,263', '1,381', '', '48', '41', '', '94', '111', '', '126', '130', '', '12,109', '13,125']}
For row 15: {"row_id": "15", "cell_list": ['quebec', '', '', '', '', '', '', '']}