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Record W4410958898 · doi:10.1103/3dzh-d8f5

Dark energy survey year 3 results: Cosmological constraints from cluster abundances, weak lensing, and galaxy clustering

2025· article· en· W4410958898 on OpenAlexaff
M. Aguena, A. Alarcon, A. Amon, Dhayaa Anbajagane, F. Andrade-Oliveira, S. Àvila, S. S. Allam, D. Bacon, M. R. Becker, S. Bhargava, J. Blazek, S. Bocquet, D. Brooks, A. Carnero Rosell, J. Carretero, F. J. Castander, C. Chang, A. Choi, Christopher J. Conselice, M. Costanzi, M. Crocce, L. N. da Costa, M. E. S. Pereira, C. Doux, T. M. Davis, S Desai, H. T. Diehl, Scott Dodelson, P. Doel, J. Elvin-Poole, J. Esteves, S. Everett, A. Farahi, A. Ferté, B Flaugher, J. García-Bellido, M. Gatti, G. Giannini, Paul Giles, S. Grandis, D. Gruen, R. A. Gruendl, G. Gutierrez, I. Harrison, S. R. Hinton, Klaus Honscheid, N Jeffrey, T. Jeltema, E. Krause, O. Lahav, S Lee, C. Lidman, M. Lima, H. Lin, J. J. Mohr, J. L. Marshall, J. McCullough, J. Mena-Fernández, R. Miquel, J. Muir, J. Myles, R. L. C. Ogando, A. Palmese, M. Paterno, A. Porredon, J. Prat, A. K. Romer, A. Roodman, Eduardo Rozo, E. S. Rykoff, R. Rosenfeld, E. Sánchez, D. Sanchez Cid, I. Sevilla-Noarbe, M. Smith, E. Suchyta, T. Shin, G. Tarlé, D. Thomas, C. To, M. A. Troxel, V. Vikram, A. R. Walker, David H. Weinberg, N. Weaverdyck, R. H. Wechsler, J. Weller, Hao‐Yi Wu, M. Yamamoto, B. Yanny, Y Zhang, Conghao Zhou

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsInstitute of Particle PhysicsPerimeter InstituteUniversity of Waterloo
FundersSLAC National Accelerator LaboratoryArgonne National LaboratoryEuropean Regional Development FundScience and Technology Facilities CouncilKavli Institute for Cosmological Physics, University of ChicagoUniversity of Illinois at Urbana-ChampaignLudwig-Maximilians-Universität MünchenFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroCentro de Investigaciones Energéticas, Medioambientales y TecnológicasInstituto Nacional de Ciência e Tecnologia: Física Nuclear e AplicaçõesConselho Nacional de Desenvolvimento Científico e TecnológicoHigh Energy PhysicsDeutsche ForschungsgemeinschaftGeneralitat de CatalunyaOffice of ScienceUniversity of EdinburghCenter for Cosmology and Astroparticle Physics, Ohio State UniversityUniversity of SussexUniversity of CambridgeUniversity of PortsmouthUniversity of ChicagoTexas A and M UniversityInstitut de Física d'Altes EnergiesNational Centre for Supercomputing ApplicationsEidgenössische Technische Hochschule ZürichUniversity College LondonMitchell InstituteUniversity of MichiganUniversity of California, Santa CruzOhio State UniversityMinistério da Ciência, Tecnologia e InovaçãoHigher Education Funding Council for EnglandLawrence Berkeley National LaboratoryFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaMinisterio de Ciencia e InnovaciónEuropean CommissionU.S. Department of EnergyUniversity of NottinghamStanford UniversityFermilabNational Science Foundation
KeywordsDark energyAstrophysicsWeak gravitational lensingPhysicsCluster analysisGalaxy clusterGalaxyCluster (spacecraft)AstronomyCosmologyComputer scienceRedshiftStatisticsMathematics

Abstract

fetched live from OpenAlex

DES Collaboration: Abbott, T.M.C. et al.

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)0.005
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.020
GPT teacher head0.396
Teacher spread0.376 · 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

Citations12
Published2025
Admission routes1
Has abstractyes

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