<|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 2019-09-17 11:30:00, BBCCasualty from company bbc tweeted. The tweet was "Rash presses Iain on Gem’s plans but will he like the answer? 🤔
Tune in Saturday 9.20pm on <mention>

#Casualty <hyperlink>". The most similar tweets were, 
1. On 2020-11-18 17:56:44, cbcgem handle of company cbc tweeted. The tweet was "Coming soon to CBC Gem: Stories!

!⃝ 𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘀𝘁𝗮𝘁𝗲𝗱 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗳𝗮𝗹𝘀𝗲 𝗮𝗻𝗱 𝗺𝗶𝘀𝗹𝗲𝗮𝗱𝗶𝗻𝗴 <hyperlink>". This tweet got 74 number of likes. 
2. On 2019-11-16 00:14:14, nailogical handle of company no tweeted. The tweet was "Set your alarms, we launch something new for the H💿L💿days tomorrow <mention> 💅😏💥 <hyperlink>
🚨11:30AM ET / 8:30AM PT🚨
New video also live on my YouTube channel, same time
Be there or be a grinch 👹🍵 <hyperlink>". This tweet got 1364 number of likes. 
3. On 2018-10-21 12:35:52, JasonBell33 handle of company bell tweeted. The tweet was "It’s about to go down, tune in to BBC 2 and watch the live coverage of ⁦<mention>⁩ vs ⁦<mention>⁩ <hyperlink>". This tweet got 354 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
