Step 1: Select rows where 'date' is '1938-06-18'.
| home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
| geelong |
11.23 (89) |
hawthorn |
6.13 (49) |
corio oval |
7000 |
1938-06-18 |
| fitzroy |
16.12 (108) |
south melbourne |
8.8 (56) |
brunswick street oval |
12000 |
1938-06-18 |
| st kilda |
14.12 (96) |
melbourne |
16.16 (112) |
junction oval |
14000 |
1938-06-18 |
| richmond |
15.14 (104) |
essendon |
15.9 (99) |
punt road oval |
20000 |
1938-06-18 |
| footscray |
13.9 (87) |
collingwood |
10.5 (65) |
western oval |
18000 |
1938-06-18 |
| north melbourne |
11.5 (71) |
carlton |
16.25 (121) |
arden street oval |
13000 |
1938-06-18 |
Step 2: Cast to REAL and order the table by 'home_team_score' in descending order and select the first row.
| home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
| geelong |
11.23 (89) |
hawthorn |
6.13 (49) |
corio oval |
7000 |
1938-06-18 |
| fitzroy |
16.12 (108) |
south melbourne |
8.8 (56) |
brunswick street oval |
12000 |
1938-06-18 |
| st kilda |
14.12 (96) |
melbourne |
16.16 (112) |
junction oval |
14000 |
1938-06-18 |
| richmond |
15.14 (104) |
essendon |
15.9 (99) |
punt road oval |
20000 |
1938-06-18 |
| footscray |
13.9 (87) |
collingwood |
10.5 (65) |
western oval |
18000 |
1938-06-18 |
| north melbourne |
11.5 (71) |
carlton |
16.25 (121) |
arden street oval |
13000 |
1938-06-18 |
Step 3: Select rows where 'home_team' is 'carlton'.
| home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
| fitzroy |
16.12 (108) |
south melbourne |
8.8 (56) |
brunswick street oval |
12000 |
1938-06-18 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
| home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
Final output table:
| verification_result |
| FALSE |
Prediction: FALSE