<|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 2020-02-19 14:21:38, UPMCnews from company upmc tweeted. The tweet was "The link between sexual and gender identity and skin cancer, when to get a cardiologist, <mention> in Erie names a new director: These topics and more in today's headlines from UPMC and <mention>. <hyperlink> #UPMCinnovates #H2P <hyperlink>". The most similar tweets were, 
1. On 2020-02-03 21:46:04, IndependentNGR handle of company independent tweeted. The tweet was "Expert Links Skin Disease To Internal Cancer <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-06-10 17:32:02, GEHealthCare handle of company ge healthcare tweeted. The tweet was "Women from #industry and #academia are partnering to build the pipeline of future female #radiology leaders <hyperlink> <hyperlink>". This tweet got 41 number of likes. 
3. On 2018-03-30 14:00:06, MastercardNews handle of company mastercard tweeted. The tweet was "Mastercard is proud to celebrate and make visible our transgender employees for Trans Day of Visibility #TDOV #TransThriving #AcceptanceMatters <mention> <hyperlink>". This tweet got 121 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
