Step 1: Select rows where 'nation' is 'australia'.
| rank |
nation |
gold |
silver |
bronze |
total |
| 1 |
south korea |
8 |
0 |
2 |
10 |
| 2 |
iran |
2 |
2 |
1 |
5 |
| 3 |
chinese taipei |
2 |
0 |
1 |
3 |
| 4 |
united states |
1 |
2 |
3 |
6 |
| 5 |
spain |
1 |
1 |
3 |
5 |
| 6 |
china |
1 |
1 |
1 |
3 |
| 7 |
greece |
1 |
0 |
2 |
3 |
| 8 |
croatia |
0 |
2 |
1 |
3 |
| 9 |
france |
0 |
2 |
0 |
2 |
| 10 |
germany |
0 |
1 |
2 |
3 |
| 11 |
canada |
0 |
1 |
1 |
2 |
| 11 |
denmark |
0 |
1 |
1 |
1 |
| 13 |
cuba |
0 |
1 |
0 |
1 |
| 13 |
great britain |
0 |
1 |
0 |
1 |
| 13 |
mexico |
0 |
1 |
0 |
1 |
| 16 |
azerbaijan |
0 |
0 |
4 |
4 |
| 17 |
thailand |
0 |
0 |
2 |
2 |
| 18 |
australia |
0 |
0 |
1 |
1 |
| 18 |
austria |
0 |
0 |
1 |
1 |
| 18 |
belarus |
0 |
0 |
1 |
1 |
| 18 |
kazakhstan |
0 |
0 |
1 |
1 |
| 18 |
morocco |
0 |
0 |
1 |
1 |
| 18 |
philippines |
0 |
0 |
1 |
1 |
| 18 |
turkey |
0 |
0 |
1 |
1 |
| 18 |
venezuela |
0 |
0 |
1 |
1 |
| total |
total |
16 |
16 |
32 |
64 |
Step 2: Select rows where 'gold' is greater than 0.
| rank |
nation |
gold |
silver |
bronze |
total |
| 18 |
australia |
0 |
0 |
1 |
1 |
Step 3: Use a `CASE` statement to return TRUE if the number of rows is equal to 0, otherwise return FALSE.
| rank |
nation |
gold |
silver |
bronze |
total |
Prediction: TRUE
Ground-truth: TRUE