<|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 2018-07-04 18:00:01, BBCHolbyCity from company bbc tweeted. The tweet was "Good luck today Dr McKendrick 😳 #HolbyCity HR <hyperlink>". The most similar tweets were, 
1. On 2019-08-01 12:42:37, Rtreatwilliams handle of company williams tweeted. The tweet was "Good morning from Sussex <hyperlink>". This tweet got 211 number of likes. 
2. On 2020-03-19 10:30:22, AmazonMusicUK handle of company amazon tweeted. The tweet was "A special message from <mention>

🎧 <hyperlink> 🎧 
#niallhoran #heartbreakweather <hyperlink>". This tweet got 361 number of likes. 
3. On 2020-01-28 19:00:00, ITG_Ltd handle of company independent tweeted. The tweet was "The look you give when someone says they don't watch #HolbyCity...

Tune in to <mention> at 8pm tonight for a brand new episode. <mention> 👨‍⚕️  

⭐️ <mention> <mention> &amp; #GuyHenry
✍️ Ep 7 Written by #ElliotHope and #JohanneMcAndrew
✍️ Ep 28 Written by #AndrewRattenbury <hyperlink>". This tweet got 64 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
