<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2018-04-19 16:23:24, uclagymnastics from company ucla tweeted. The tweet was "Shining at the <mention> look station. #NCAAgym <hyperlink>". The most similar tweets were, 
1. On 2018-12-16 02:11:02, TargetCenterMN handle of company target tweeted. The tweet was "Lookin’ good TC!
🏐🏆
<mention> #NCAAVB <hyperlink>". This tweet got 76 number of likes. 
2. On 2019-10-01 22:39:51, 1MjWilliams2 handle of company williams tweeted. The tweet was "When that NCAA check came in today <hyperlink>". This tweet got 160 number of likes. 
3. On 2019-05-03 02:10:05, UCLAHealth handle of company ucla health tweeted. The tweet was "#TBT to #UCLANight at the <mention> game when Dr. Esrailian threw out the first pitch to celebrate the new #UCLAKardashianCenter. ➨ <hyperlink>
<mention> <hyperlink>". This tweet got 41 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
