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Record W4414812179

Validation of the DESI DR2 Ly$\alpha$ BAO analysis using synthetic datasets

2025· preprint· en· W4414812179 on OpenAlexaff
Lidia Casas, H. K. Herrera-Alcantar, J. Chaves-Montero, Andrei Cuceu, Andreu Font-Ribera, Martine Lokken, A. G. Adame, J. Aguilar, S. P. Ahlen, U. Andrade, E. Armengaud, Alejandro Avilés, S. Bailey, S. BenZvi, D. Bianchi, A. Brodzeller, D. Brooks, R. E. A. Canning, A. Carnero Rosell, M. Charles, E. Chaussidon, T. Claybaugh, K. S. Dawson, Axel de la Macorra, Arnaud de Mattia, Arjun Dey, Biprateep Dey, Z. Ding, P. Doel, Daniel J. Eisenstein, Willem Elbers, Simone Ferraro, J. E. Forero-Romero, C. García-Quintero, Lehman H. Garrison, Satya Gontcho A Gontcho, Alma X. González‐Morales, C. Gordon, G. Gutierrez, J. Guy, M. Herbold, Klaus Honscheid, Cullan Howlett, Dragan Huterer, Mustapha Ishak, S. Juneau, R. Kehoe, David Kirkby, Theodore Kisner, O. Lahav, M. Landriau, J.M. Le Goff, L. Le Guillou, Alexie Leauthaud, M. E. Levi, Qiong Li, Marc Manera, Paul Martini, Aaron Meisner, R. Miquel, John Moustakas, D. Santos, Adam D. Myers, S. Nadathur, L. Napolitano, Gustavo Niz, H. E. Noriega, E. Paillas, N. Palanque‐Delabrouille, Will J. Percival, Matthew M. Pieri, Claire Poppett, Francisco Prada, C. Ravoux, Giacomo Rossi, E. Sánchez, David J. Schlegel, M. Schubnell, Hee‐Jong Seo, Francesco Sinigaglia, D. Sprayberry, T. Tan, Peter L. Taylor, Wm. Turner, Michael Walther, B. A. Weaver, Molly Wolfson, Pauline Zarrouk, Ruguang Zhou

Bibliographic record

VenueArXiv.org · 2025
Typepreprint
Languageen
FieldEngineering
TopicIndustrial Vision Systems and Defect Detection
Canadian institutionsRegional Municipality of WaterlooPerimeter InstituteUniversity of Waterloo
Fundersnot available
KeywordsSet (abstract data type)QuasarDark energySpectral densityRedshiftData setSpectral lineOscillation (cell signaling)Energy (signal processing)
DOInot available

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 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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.060
GPT teacher head0.286
Teacher spread0.226 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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