<|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 2019-11-23 22:10:00, BBCCasualty from company bbc tweeted. The tweet was "Reply to this tweet with your questions for <mention> before midnight on Monday 25th! To celebrate David and Rosa’s engagement 🎉 we’ll be sitting down for a Q&amp;A with everyone’s favourite stubbly nurse! 🧔 <hyperlink>". The most similar tweets were, 
1. On 2020-05-12 07:37:55, RoyalFreeNHS handle of company free tweeted. The tweet was "Happy #InternationalNursesDay! We would like to recognise all the amazing nurses across the Royal Free London today. #ThankYouNurses for all that you do💙👏 #IND2020 #YearoftheNurseandMidwife <hyperlink>". This tweet got 68 number of likes. 
2. On 2019-05-06 23:00:01, lanebryant handle of company lane bryant tweeted. The tweet was "Happy Nurse’s Day to all the hard-working healers out there. 🏥 Enjoy an extra 15% off through May 12! <hyperlink>". This tweet got 7 number of likes. 
3. On 2020-05-12 14:31:36, WalmartWorld handle of company walmart tweeted. The tweet was "This #NursesWeek, we’re especially grateful for our Walmart Health and Care Clinic nurses 👨‍⚕‍👩‍⚕‍ These are just a few of the friendly faces continuing to provide vital care to patients during this time 💙 #ThankYouNurses #NationalNursesWeek <hyperlink>". This tweet got 13 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
