<|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 2019-11-08 01:51:38, uclagymnastics from company ucla tweeted. The tweet was "#TBT to the 2018 season opener and the first signs of a 🌟 being born in future All-American <mention>.

#ThrowbackThursday | #GoBruins <hyperlink>". The most similar tweets were, 
1. On 2019-10-22 23:36:48, UCLAHealth handle of company ucla health tweeted. The tweet was "We can’t wait for tonight’s tip-off of another exciting season with our partners, the <mention>! #TeamUCLALakers <hyperlink>". This tweet got 76 number of likes. 
2. 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. 
3. On 2018-08-14 22:02:14, UCLAHealth handle of company ucla health tweeted. The tweet was "Wishing a very happy birthday to the legend <mention>. Thanks for all U do in supporting UCLA Health! #TeamUCLALakers <hyperlink>". This tweet got 322 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
