A Plague Tale: Requiem spoiler discussion and more: Sidequest Full Episode
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Kirklin and Dylan talk about the games they've been playing with a highlight on Marvel Snap. In the news section, they talk about the DLC characters for Marvel's Midnight Suns, along with the Witcher remake and Embracer group shutting down Square Enix Montreal. Finally, they go full spoiler mode with A Plague Tale: Requiem now that they have both beat the game.LinksDylan on Twitter @DylanMussDylan on Backloggd backloggd.com/u/Rapatika/Kirklin on Twitter @kirklinpatzerAmanda Cawley (Composer) on Instagram www.instagram.com/amandacawleymusicEnjoy Ad Free, Early, & Exclusive Episodes! https://www.patreon.com/GeekVerseSupport Our Patreon To Help Us Grow The Podcast & Create New ContentGuest On Shows, Pick Films For Us To Review, Send Topics & More!Get 20% Off Manscaped & Free World Wide Shipping With Our CodeGVPODGeekVerse.ca is where you can find all info on the show and where you can find it!Watch GV News, GV Reviews, & GUA Shows Live On Our Youtubehttps://www.youtube.com/c/GeekVersePodcastCome Chat With The Hosts, Join Our Discord!https://discord.gg/2DMzHRn9Check Out Our Podcast Network, Geek Ultimate Alliance 7 Shows, 5 Days A Week : https://geekverse.ca/geek-ultimate-alliance/Check Out All Of Our Podcast Feeds, GeekVerse Podcast(All Podcasts), Reviews, News, & Retrospective By Searching In Your Podcast App Of ChoiceSocial MediaGeekVerse Podcast on FacebookTwitter @GeekVerseCastTaylor on Twitter @TaylorTheFieldTravis on Twitter @TravisBSnellDante on Twitter @denacolyte
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.699 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it