A Plague Tale: Requiem spoiler discussion and more: Sidequest Full Episode
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.295 | 0.120 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".