<|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 2020-03-30 21:10:41, UCLAHealth from company ucla health tweeted. The tweet was "They might not all be on the front line against COVID-19, but you can guarantee, they aren’t on the sideline either. Join our Doctor's Day celebration by simply saying, thank you. #TeamLA #DoctorsDay #NationalDoctorsDay <hyperlink>". The most similar tweets were, 
1. On 2020-03-31 20:22:21, UCLAHealth handle of company ucla health tweeted. The tweet was "Thank you, <mention>! Your generous and inspirational gift will support our immediate and ever-growing needs for PPE to protect our heroic front-line staff as well as our precious community, #TeamLA. #COVID19

Show your support here. ➨ <hyperlink> <hyperlink>". This tweet got 273 number of likes. 
2. On 2020-04-23 12:00:06, Tesco handle of company tesco tweeted. The tweet was "We’ve put together COVID-19 advice from our health charity partners to make it really easy for you to find. Visit <hyperlink> for the latest info from <mention>, <mention> and <mention>. #EveryLittleHelps <hyperlink>". This tweet got 54 number of likes. 
3. On 2020-03-30 23:18:04, IndependentNGR handle of company independent tweeted. The tweet was "COVID-19 And The Dark Sides Of The Medical World <hyperlink> <hyperlink>". This tweet got 0 number of likr 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
118<|im_end|>
