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Record W7008112907

ATLAS measurements of the energy flow at low x

2013· other· en· W7008112907 on OpenAlexaff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2013
Typeother
Languageen
Field
Topic
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaTSG101Articular cartilage damageDysgeusiaFusible alloyProtein isoform
DOInot available

Abstract

fetched live from OpenAlex

ATLAS measuremets of the sum of transverse energy of particles as a function of particle pseudorapidity $\\eta$ in proton-proton collisions at centre of mass energy $\\sqrt{s}$ = 7 TeV, using ATLAS detectors at the Large Hadron Collider.\\nThe measurement are performed in the region of $\\eta$ < 4.8 for two event classes: those requiring the presence of particles with a low transverse momentum and those requiring particles with a significant transverse to the hard scatter.\\nThe distributions are compared to the predictions of various Monte Carlo event generators, which generally tend to underestimate the amount of transverse energy.\\nIn addition, a comparison of the profile of $\\sum{E_{\\text T}}$ against the leading jet transverse momentum $p_{T}^{\\text {lead}}$ in range from 20 GeV to 800 GeV for data and MC generators is presented for samples of calorimeter inclusive jets and exclusive dijet events.\\n\\n

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.004

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 head0.033
GPT teacher head0.253
Teacher spread0.220 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

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Same venueCERN Document Server (European Organization for Nuclear Research)French-language works237,207