[andrewnakas]

Hi @liamdugan, following your note on #220 this updates the predictions for the existing GPTTrace (Ettin-150M) entry. There's no new folder.

• Model: Ettin-encoder-150M (MIT). It starts from our v3 and is distilled from our Ettin-1B (Add detector: GPTTrace (Ettin-1B) #223). Open weights are at https://huggingface.co/nakas/gpttrace-ettin150-text-v5e. Code: https://github.com/andrewnakas/gpttrace
• Changed files: predictions.json, all 672,000 test ids, scored as P(AI). In metadata.json, the release date, the HF link and a new GitHub link.
• Our held-out RAID validation: TPR@5%FPR is 99.82% with attacks, up from 99.78% for the current v2 entry. That's an internal number; the official number is whatever the CI produces.

Also, #223 (Ettin-1B) is ready whenever you'd like to merge it. Thanks again!

[github-actions]

Eval run succeeded! Link to run: link

Here are the results of the submission(s):

GPTTrace (Ettin-150M)

Release date: 2026-10-16

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 99.89 and a TPR of 99.80% at FPR=5% and 98.91% at FPR=1%.
Without adversarial attacks, it achieved AUROC of 99.95 and a TPR of 99.90% at FPR=5% and 99.53% 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!

[liamdugan]

Let me know if you'd like me to submit this to the leaderboard @andrewnakas

[andrewnakas]

Yes please, thank you!