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Record W2783171952 · doi:10.1093/mnras/sty453

The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: structure growth rate measurement from the anisotropic quasar power spectrum in the redshift range 0.8 < z < 2.2

2018· article· en· W2783171952 on OpenAlexfundno aff
Héctor Gil-Marín, Julien Guy, Pauline Zarrouk, E. Burtin, Chia-Hsun Chuang, Will J. Percival, Ashley J. Ross, Rossana Ruggeri, Rita Tojerio, Gong‐Bo Zhao, Yuting Wang, Julian Bautista, Jiamin Hou, Ariel G. Sánchez, Isabelle Pâris, Falk Baumgarten, Joel R. Brownstein, Kyle Dawson, Sarah Eftekharzadeh, Violeta González-Pérez, Salman Habib, Katrin Heitmann, Adam D. Myers, Graziano Rossi, Donald P. Schneider, Hee‐Jong Seo, Jeremy L. Tinker, Cheng Zhao

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersArgonne National LaboratorySmithsonian Astrophysical ObservatoryOffice of ScienceMax-Planck-Institut für AstronomieMinistry of Education, Science and TechnologyNational Research Foundation of KoreaU.S. Department of EnergySmithsonian InstitutionNational Natural Science Foundation of ChinaAgence Nationale de la RechercheYork UniversityNational Energy Research Scientific Computing CenterSejong UniversityOhio State UniversityNational Research FoundationCarnegie Mellon UniversityPennsylvania State UniversityCollege of Engineering, Michigan State UniversityPrinceton UniversityAlfred P. Sloan FoundationUniversity of WashingtonJohns Hopkins UniversityHarvard UniversityNational Science FoundationNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityYale UniversityBrookhaven National LaboratoryMinistério da Ciência, Tecnologia e InovaçãoLawrence Berkeley National LaboratoryUniversity of Pennsylvania
KeywordsPhysicsAstrophysicsRedshiftQuasarBaryonHubble's lawSpectral densityDark energyCosmologyBaryon acoustic oscillationsGalaxyStatistics

Abstract

fetched live from OpenAlex

International audience

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 distilled prediction

Teacher imitation

Not 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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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 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

Citations149
Published2018
Admission routes1
Has abstractyes

Explore more

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