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All models exceeded 85% accuracy and 80% F1—pretty solid! I also noticed that LLM-generated sentences were often flagged by multiple models, so voting made perfect sense.

print u"\u001b[0m"

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“It’s pretty individualized,” Martin says. “Not everyone is comfortable in the same position.”

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