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Combination of inclusive top-quark pair production cross-section measurements using ATLAS and CMS data at $\sqrt{s}$ = 7 and 8 TeV
J. A. Aguilar–Saavedra
Bibliographic record
VenueZurich Open Repository and Archive (University of Zurich) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Toronto
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónFonds pour la Formation à la Recherche dans l’Industrie et dans l’AgricultureAgencia Nacional de Promoción Científica y TecnológicaJapan Society for the Promotion of ScienceQatar National Research FundAgencia Nacional de Investigación y DesarrolloHellenic Foundation for Research and InnovationMinistry of Science,Technology and ResearchPakistan Atomic Energy CommissionLatvijas Zinātnes PadomeEuropean Regional Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueTürkiye Enerji, Nükleer ve Maden Araştırma KurumuNational Academy of Sciences of UkraineMinistry of Education, IndiaBenemérita Universidad Autónoma de PueblaTürkiye Bilimsel ve Teknolojik Araştırma KurumuA.G. Leventis FoundationIsrael Science FoundationFonds Wetenschappelijk OnderzoekMinistry of Science, ICT and Future PlanningFonds De La Recherche Scientifique - FNRSConselho Nacional de Desenvolvimento Científico e TecnológicoMinistry of Higher Education, Science, Research and Innovation, ThailandBundesministerium für Wissenschaft, Forschung und WirtschaftNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungMinisterio de Economía y CompetitividadMinisterio de Ciencia e InnovaciónConsejo Nacional de Ciencia y TecnologíaNvidiaAgentschap voor Innovatie door Wetenschap en TechnologieAustrian Science FundMinisterstvo Školství, Mládeže a TělovýchovyFundação para a Ciência e a TecnologiaUniversidad Autónoma de San Luis PotosíU.S. Department of EnergyNational Science and Technology Development AgencyNational Natural Science Foundation of ChinaEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloNemzeti Kutatási Fejlesztési és Innovációs HivatalJavna Agencija za Raziskovalno Dejavnost RSScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekDepartment of Science and Technology, Ministry of Science and Technology, IndiaDanmarks GrundforskningsfondAlexander von Humboldt-StiftungCentro de Investigación y de Estudios Avanzados del Instituto Politécnico NacionalCERNBelgian Federal Science Policy OfficeScience Foundation IrelandNational Science FoundationWeston Havens FoundationMagyar Tudományos AkadémiaNational Science CouncilCentre National pour la Recherche Scientifique et TechniqueFonds National de la Recherche LuxembourgAlfred P. Sloan Foundation
KeywordsPhysicsAlgorithmComputer science
Abstract
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 distilled prediction
Teacher imitationNot 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.537
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.045
GPT teacher head0.292
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Citations4
Published2023
Admission routes2
Has abstractno