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Measurements of W+W?+ ? 1 jet production cross-sections in pp collisions at √s= 13 TeV with the ATLAS detector
Bibliographic record
VenueInstitutional Repositories DataBase (IRDB) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryEuropean Social FundHigh Energy PhysicsDivision of PhysicsBritish Columbia Knowledge Development FundRussian Academy of SciencesJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaUniversity of California, IrvineCollege of Engineering, Michigan State UniversityUniversidade Federal de São João del-ReiAgencia Nacional de Investigación y DesarrolloShanghai Key Laboratory for Particle Physics and CosmologyServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesPontificia Universidad Católica de ChileUniversity of Science and Technology of ChinaUniversidade do MinhoJulius-Maximilians-Universität WürzburgNational Academy of Sciences of BelarusState Key Laboratory of Particle Detection and ElectronicsUniversidade Federal de Juiz de ForaHigh Energy Accelerator Research OrganizationUniversity of TsukubaNuclear PhysicsAristotle University of ThessalonikiInstitut de Valorisation des DonnéesUniversidad de GranadaUniverza v LjubljaniCentre National pour la Recherche Scientifique et TechniqueTechnion-Israel Institute of TechnologyUniversidade Nova de LisboaInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaUniversidade de CoimbraUniversidade de São PauloScottish Universities Physics AllianceNational Tsing Hua UniversityRoyal Holloway, University of LondonUniversidade Federal do Rio de JaneiroUniversitetet i OsloH2020 Marie Skłodowska-Curie ActionsMcGill UniversityUniverzita Karlova v PrazeGeneralitat de CatalunyaMinisterio de Ciencia e InnovaciónUniversità degli Studi di PaviaCERNShanghai Jiao Tong UniversityMinistry of Education, IndiaStony Brook UniversityInstitut "Jožef Stefan"Waseda UniversityTRIUMFJavna Agencija za Raziskovalno Dejavnost RSSimon Fraser UniversityCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftIsrael Science FoundationGeneral Secretariat for Research and TechnologyEuropean Regional Development FundAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftGeorg-August-Universität GöttingenLunds UniversitetNational Research Center "Kurchatov Institute"Université de GenèveUniversity of TorontoGeneralitat ValencianaUniversité de ParisAcademia SinicaLudwig-Maximilians-Universität MünchenNational Science FoundationSiberian Branch, Russian Academy of SciencesFundação para a Ciência e a TecnologiaTomsk State UniversityCompute CanadaRadboud UniversiteitDanmarks GrundforskningsfondAbdus Salam International Centre for Theoretical PhysicsConsejo Nacional de Investigaciones Científicas y TécnicasSapienza Università di RomaAgence Nationale de la RechercheUniversité de FribourgTürkiye Atom Enerjisi KurumuUniversiteit van AmsterdamUniversität HeidelbergDepartment of Science and Technology, Ministry of Science and Technology, IndiaAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniversity of SussexFundação de Amparo à Pesquisa do Estado de São PauloLeverhulme TrustEuropean CommissionAlbert-Ludwigs-Universität FreiburgUniversity College LondonRoyal SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of GlasgowYork UniversityUniversity of Illinois at Urbana-ChampaignLouisiana Tech UniversityDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)National Research CentreCanarieUniversität SiegenCentres de Recerca de CatalunyaUniversité Grenoble AlpesInstituto Superior TécnicoBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyUniversity of OregonJoint Institute for Nuclear ResearchNational Natural Science Foundation of ChinaAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeSorbonne UniversitéKungliga Tekniska HögskolanUniversity of PittsburghIowa State UniversityHarvard UniversityQueen Mary University of LondonUniversità degli Studi di TrentoUniversidad Nacional de La PlataLomonosov Moscow State UniversityMichigan State UniversityU.S. Department of EnergyFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaShandong UniversityTel Aviv UniversityUniversity of OxfordAgencia Nacional de Promoción Científica y TecnológicaNational Research Nuclear University MEPhIJustus Liebig Universität GießenUniversidad Técnica Federico Santa MaríaNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftMinisterstwo Edukacji i NaukiUniversité Paris-SaclayUniverzita Palackého v OlomouciConselho Nacional de Desenvolvimento Científico e TecnológicoUniversità di PisaUniversidad Autónoma de MadridTechnische Universität DresdenAustrian Science FundUniversity of PennsylvaniaUniversity of OklahomaNorthern Illinois UniversityUniversity of WashingtonOklahoma State UniversityUniversità degli Studi di Napoli Federico IIUniversidad de TarapacáUniversity of WarwickAlexander von Humboldt-Stiftung
KeywordsAtlas detectorJet (fluid)DetectorAtlas (anatomy)Production (economics)
DOInot available
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 machine prediction
Teacher imitationNot 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)0.002
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 score0.006
Threshold uncertainty score0.021
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 head0.027
GPT teacher head0.286
Teacher spread0.258 · 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 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".
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Citations0
Published2021
Admission routes1
Has abstractno