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Record W7054379296

Air Bud Is GOAT, New Shaft = Old Shaft 6.17.19

2019· other· en· W7054379296 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2019
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)BasketballGeorge (robot)Administration (probate law)LeagueWifeClothing
DOInot available

Abstract

fetched live from OpenAlex

In episode 414, Jack and Miles are joined by I'm Too Effing High podcast's James Mastraieni to discuss Toronto Raptors winning the NBA championship, whether or not Airbud was actually good at basketball, Elizabeth Warren surging in California, Cuba Gooding Jr turning himself in for groping a woman, the new Shaft movie, and more! Plus super producer Anna Hossnieh joins to talk about the Trump Administration making claims about Iran with no evidence. FOOTNOTES: 1. Here Are Some Cool Guys Who Are Now NBA Champions 2. ACTUALLY, AIR BUD SUCKS AT BASKETBALL 3. California poll: Warren surges to second, Harris falls to fourth 4. Most millionaires support a tax on wealth above $50 million, CNBC survey says 5. US holds Iran 'responsible' for reported Gulf attacks on tankers 6. CUBA GOODING JR. HAND ON ACCUSER IN SURVEILLANCE VIDEO FROM BAR 7. Shaft Review: A Master Class in Toxic Masculinity and Shitty Movie-Making 8. Shaft review regressive sequel swaps out style for ugly homophobia 9. Samuel L. Jackson had so many notes on the 'Shaft' script 10. WATCH: sir Was - Deployed (feat. Little Dragon) (Official Audio) Learn more about your ad-choices at https://news.iheart.com/podcast-advertisers

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.3680.072

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.

Opus teacher head0.006
GPT teacher head0.179
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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