<|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 2020-03-04 17:07:56, BBCOne from company bbc tweeted. The tweet was "Georgie Lane is back and reporting for duty! 🙌

Get ready for brand-new #OurGirl, coming soon to <mention> &amp; <mention>. <hyperlink>". The most similar tweets were, 
1. On 2020-06-24 21:46:44, matt_itvnews handle of company williams tweeted. The tweet was "Shout out for ⁦<mention>⁩ on her final week as head of news for ⁦<mention>⁩. A credit long overdue for all the help and support she’s provided to ⁦<mention>⁩ over the years. Big love, respect and best wishes from all the team for her future endeavours. <hyperlink>". This tweet got 112 number of likes. 
2. On 2018-02-21 17:02:35, Mike_P_Williams handle of company williams tweeted. The tweet was "Stop what you're doing because <mention> has arrived at the #Brits2018 😍 <hyperlink>". This tweet got 323 number of likes. 
3. On 2020-01-26 09:31:09, HMcEntee handle of company td tweeted. The tweet was "Discussing #Brexit on <mention> this morning. Seems my little niece was tuned in too 😍 <hyperlink>". This tweet got 208 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
