<|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 2018-12-02 18:00:29, CBCDay6 from company cbc tweeted. The tweet was "“A big loud mess”: Architecture critic and blogger <mention> says modern restaurants’ open kitchens and bars are so noisy it could be a health hazard. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-08-16 16:39:56, chrisandrews64 handle of company td tweeted. The tweet was "While most of focus is on chaos in #berlind2 on Dame Lane its important to remember that the overwhelming amount of restaurants and bars are safe. Staff are professional and conscious of health risks like in <mention> 
These compliant venues must not pay the price for the few. <hyperlink>". This tweet got 130 number of likes. 
2. On 2018-01-16 15:39:39, CBCCalgary handle of company cbc tweeted. The tweet was "'Stop moaning,' Calgary cafe owner tells fellow operators amid debates over rising labour costs <hyperlink> <hyperlink>". This tweet got 146 number of likes. 
3. On 2020-04-30 23:16:04, CBCOttawa handle of company cbc tweeted. The tweet was "Mosques get noise exemption for call to prayer during Ramadan <hyperlink> #ottnews #ottawa <hyperlink>". This tweet got 47 number of likr 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
45<|im_end|>
