I went to my university's electronic PhD thesis repository, and went down the list, starting with the most recently published, skipping people of the same gender to the last selected thesis or whose gender was not obvious from the name, until I had 10 PhD theses, 5 male, 5 female. I put the abstracts from each thesis into the 'gender genie', and these are the results:
Author male, predicted as male: 4
Author female, predicted as male: 4
Author male, predicted as female: 1
Author female, predicted as female: 1
Obviously, a larger sample is needed, but those results make it look very unreliable - especially compared to an outright statement of gender.
Author male, predicted as male: 4 Author female, predicted as male: 4 Author male, predicted as female: 1 Author female, predicted as female: 1
Obviously, a larger sample is needed, but those results make it look very unreliable - especially compared to an outright statement of gender.