Add LLM Detect T38 full-test submission

[Zxilly]

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Eval run succeeded! Link to run: link

Here are the results of the submission(s):

LLM Detect T38 (multilingual Desklib adaptation)

Release date: 2026-09-12

I've committed detailed results of this detector's performance on the test set to this PR.

On the RAID dataset as a whole (aggregated across all generation models, domains, decoding strategies, repetition penalties, and adversarial attacks), it achieved an AUROC of 87.61 and a TPR of 77.66% at FPR=5% and 63.37% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 91.95 and a TPR of 88.23% at FPR=5% and 76.08% at FPR=1%.

If all looks well, a maintainer will come by soon to merge this PR and your entry/entries will appear on the leaderboard. If you need to make any changes, feel free to push new commits to this PR. Thanks for submitting to RAID!