The paper is looking at overlapping sex traits in males and females. It does not define a sex by that "score". It treats sex as distinctly categorical.
The paper is looking at overlapping sex traits in males and females. It does not define a sex by that "score". It treats sex as distinctly categorical.
For example, height makes an overlapping distribution with more male heights (tall) and more female heights short). This does not mean tall people are male.
Because they've categorized the modes. When one removes the categorization from that graph, what kind of distribution do you see?
Males are larger. That’s a sexually determined/influenced trait in many many species. And yet, overlap.