<|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 2020-03-25 14:24:22, BBCDoctors from company bbc tweeted. The tweet was "Click the link now for a special musical treat and a preview of tomorrow's special 20th anniversary episode!

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-24 17:30:13, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> is joining us for a special Today in Music episode this Friday and wants all of you to tune in 😆 <hyperlink> <hyperlink>". This tweet got 378 number of likes. 
2. On 2018-12-25 14:00:01, amazonmusic handle of company amazon tweeted. The tweet was "One more time for #SOTD guest host <mention>! #AskAlexa, "Play the Song of the Day" to stream #CozyLittleChristmas <hyperlink> <hyperlink>". This tweet got 288 number of likes. 
3. On 2020-12-01 22:58:58, amazonmusic handle of company amazon tweeted. The tweet was "🚨 Free show alert 🚨 . Hear <mention> and <mention> perform on the opening night of #HolidayPlays for no charge! 

It’s all happening tonight at 5pm PT/8pm ET on <mention>, Amazon Music and <mention> <hyperlink>". This tweet got 1285 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
