<|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 2018-09-10 08:34:58, Shell from company shell tweeted. The tweet was "A Pennsylvanian region of the #USA has struggled since steel jobs left a generation ago. Now a new industry brings new hope. Read the story: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-08-14 00:17:11, Shell_USA handle of company shell tweeted. The tweet was "5,000 construction workers. 600 employees. 1 world-class complex. Proud to showcase jobs for American workers today at Shell Pennsylvania Chemicals. <hyperlink>". This tweet got 116 number of likes. 
2. On 2018-11-29 09:00:17, Shell handle of company shell tweeted. The tweet was "💻 Shell begins trading operations on <mention> #blockchain platform ⛓️ #OOTT <hyperlink> <hyperlink>". This tweet got 79 number of likes. 
3. On 2020-02-18 11:33:49, shellzenner handle of company shell tweeted. The tweet was "As good as it gets guys <hyperlink>". This tweet got 373 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
1188<|im_end|>
