Beyond binary AI text detection: Partial authorship, source-text similarity, and an integrated threshold model of detectability
This study investigates AI text detection under conditions that more closely reflect real-world writing practices than conventional binary human-versus-AI benchmarks. Rather than treating authorship as a dichotomy, detectability is examined as a function of partial AI authorship, source-text similarity, and generat...