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Record W7067313006

Longitudinal flow decorrelations in Xe+Xe collisions at $\\sqrt{^{S}NN}=5.44$ TeV with the ATLAS detector

2021· other· en· W7067313006 on OpenAlexfundno aff

Bibliographic record

VenueJagiellonian University Repository (Jagiellonian University) · 2021
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersEuropean Social FundBritish Columbia Knowledge Development FundFundação para a Ciência e a TecnologiaInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaCentre National pour la Recherche Scientifique et TechniqueNational Research Center "Kurchatov Institute"Centre National de la Recherche ScientifiqueMax-Planck-GesellschaftIsrael Science FoundationJoint Institute for Nuclear ResearchBundesministerium für Wissenschaft, Forschung und WirtschaftBeijing Municipal Science and Technology CommissionAustrian Science FundJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoU.S. Department of EnergyNational Natural Science Foundation of ChinaInstitut de Valorisation des DonnéesFundação de Amparo à Pesquisa do Estado de São PauloH2020 Marie Skłodowska-Curie ActionsJavna Agencija za Raziskovalno Dejavnost RSSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistry of Education, Culture, Sports, Science and TechnologyGeneral Secretariat for Research and TechnologyAgence Nationale de la RechercheMinisterstwo Edukacji i NaukiCERNDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Deutsche ForschungsgemeinschaftMinisterio de Ciencia e InnovaciónEuropean CommissionTürkiye Atom Enerjisi KurumuAgencia Nacional de Investigación y DesarrolloServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesDepartment of Science and Technology, Ministry of Science and Technology, IndiaNational Science FoundationCompute CanadaEuropean Regional Development FundBundesministerium für Bildung und ForschungCanarieDanmarks GrundforskningsfondAlexander von Humboldt-Stiftung
KeywordsDecorrelationAmplitudeTransverse planeDetectorAtlas detectorLarge Hadron ColliderFlow (mathematics)
DOInot available

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.008
GPT teacher head0.193
Teacher spread0.186 · 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
Published2021
Admission routes1
Has abstractno

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