<|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 2018-11-21 00:29:53, uclagymnastics from company ucla tweeted. The tweet was "Here's what you can expect in 2019. We can't wait to show you all at Meet the Bruins on Dec. 9! <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 2019-11-13 01:39:23, EmersonLotzia handle of company emerson tweeted. The tweet was "👀 bruins after that second period <hyperlink>". This tweet got 2 number of likes. 
3. On 2018-10-19 00:55:25, UCLAHealth handle of company ucla health tweeted. The tweet was "We’re so inspired by the employees, students, #UCLAPAC volunteers and all the fans who joined us for <mention> Spirit Day! Thank U <mention> for helping us to kick-off our celebration. #TeamUCLALakers is ready for the season! Let's go #Lakeshow! #ItBeginswithU <hyperlink>". This tweet got 43 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
