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Record W6931698555 · doi:10.5445/ir/1000095347

Combinations of single-top-quark production cross-section measurements and |fLVVtb| determinations at $ \sqrt{s} $ = 7 and 8 TeV with the ATLAS and CMS experiments

2019· article· en· W6931698555 on OpenAlexfundno aff

Bibliographic record

VenueRepository KITopen (Karlsruhe Institute of Technology) · 2019
Typearticle
Languageen
FieldMathematics
TopicAnalytic Number Theory Research
Canadian institutionsnot available
FundersNemzeti Kutatási, Fejlesztési és Innovaciós AlapInstitut National de Physique Nucléaire et de Physique des ParticulesFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureAgencia Nacional de Promoción Científica y TecnológicaJapan Society for the Promotion of ScienceNational Research Center "Kurchatov Institute"Qatar National Research FundServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesMinistry of Science,Technology and ResearchPakistan Atomic Energy CommissionBenemérita Universidad Autónoma de PueblaFundação para a Ciência e a TecnologiaUniversidad Autónoma de San Luis PotosíMinistry of Education, IndiaTürkiye Bilimsel ve Teknolojik Araştırma KurumuJavna Agencija za Raziskovalno Dejavnost RSFundação de Amparo à Pesquisa do Estado do Rio Grande do SulEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftIsrael Science FoundationMagyar Tudományos AkadémiaFonds Wetenschappelijk OnderzoekMinistry of Science, ICT and Future PlanningMinisterstwo Edukacji i NaukiFonds De La Recherche Scientifique - FNRSConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftAgentschap voor Innovatie door Wetenschap en TechnologieChulalongkorn UniversityAustrian Science FundNational Science CouncilFonds National de la Recherche LuxembourgNatural Sciences and Engineering Research Council of CanadaMinisterio de Economía y CompetitividadMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungMinisterstvo Školství, Mládeže a TělovýchovyCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDanmarks GrundforskningsfondDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheBelgian Federal Science Policy OfficeNational Science FoundationScience Foundation IrelandState Fund for Fundamental Research of UkraineGeneralitat de CatalunyaDepartment of Science and Technology, Ministry of Science and Technology, IndiaGeneral Secretariat for Research and TechnologyScience and Technology Facilities CouncilWelch FoundationSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Academy of Sciences of UkraineInstitute for the Promotion of Teaching Science and TechnologyEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyFundacja na rzecz Nauki PolskiejCompute CanadaWeston Havens FoundationSecretaría de Educación Superior, Ciencia, Tecnología e InnovaciónAlexander von Humboldt-StiftungTRIUMFConsejo Nacional de Ciencia y TecnologíaComisión Nacional de Investigación Científica y TecnológicaJoint Institute for Nuclear ResearchTürkiye Atom Enerjisi KurumuRussian Foundation for Basic ResearchA.G. Leventis FoundationCanarieDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Secretaría de Estado de Investigación, Desarrollo e InnovaciónAlfred P. Sloan FoundationCentres de Recerca de CatalunyaCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalCERNNational Science and Technology Development AgencyNational Natural Science Foundation of ChinaFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroU.S. Department of Energy
KeywordsAtlas (anatomy)Production (economics)Large Hadron ColliderProduction model

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)0.004
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.046
GPT teacher head0.323
Teacher spread0.277 · 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
Published2019
Admission routes1
Has abstractno

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