<|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 2019-11-12 13:57:22, bbcwritersroom from company bbc tweeted. The tweet was "Our next submission window for Drama scripts (TV, film, radio, stage or online) will be open from 10am on Monday 9th December to 5pm on Monday 6th January. <hyperlink>". The most similar tweets were, 
1. On 2020-03-05 22:06:13, MSTheater handle of company microsoft tweeted. The tweet was "Tonight <mention> is making the return to the Microsoft Theater stage! Doors open at 7:00 PM &amp; the show starts at 8:00 PM! <hyperlink>". This tweet got 63 number of likes. 
2. On 2019-12-31 12:30:00, AMCtvUK handle of company amc tweeted. The tweet was "Ready for the end of 2019? 🎇🎆🥳 <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-05-17 02:16:53, msdev handle of company microsoft tweeted. The tweet was "Hey, developers and wannabe film directors! We are extending the submission window for the #MSBuild Film Festival through the first 24 hours of the event. Keep the content coming—we want to see more! Check your email: <hyperlink> <hyperlink>". This tweet got 81 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
