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Record W6989620899

Big 4th quarter leads Rockets over Clippers

2015· other· en· W6989620899 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGriffinGuard (computer science)Quarter (Canadian coin)LaunchedEvening
DOInot available

Abstract

fetched live from OpenAlex

James Harden scored 16 of his 32 points in 4th Saving the best for last turned out to be a winning strategy for Houston Rockets guard James Harden. Harden scored half of his 32 points in the 4th quarter as the Rockets got by the L-A Clippers 115-109, evening up their playoff series at a game apiece. But Clippers head coach Doc Rivers blames the loss not on Harden, but on his offense trying to force the ball to forward Blake Griffin CUT Griffin did rack up 34 points and 14 rebounds, but also had to play without guard Chris Paul for a second straight game. It didn't help that the Clippers kept sending the Rockets to the free throw line, which accounted for 42 of the Rockets' points. The series now shifts to L-A for Game 3, which will be played Friday night at the Staples Center.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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 score0.098
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0040.001
Science and technology studies0.0000.002
Scholarly communication0.0010.000
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0490.125

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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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
Published2015
Admission routes1
Has abstractyes

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