The output of the flamewar detector isn't binary.
I wrote a moderation bot to use on a political subreddit that used a text classifier to determine whether comments should be deleted. A goal was to delete flame comments rapidly. It worked, but reddit's reply notifications limited its effectiveness.
Of note: the phrase "you are a" ranked higher for the flame category than any particular insult.
This may also have the side effect of allowing for some opinions to be shared, without being mired in flame-y back and forth. (And, importantly, still allows the story to stay more visible)