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Record W4302549080 · doi:10.1051/0004-6361/201527175

Fossil group origins

2015· article· en· W4302549080 on OpenAlexaff
S. Zarattini, M. Girardi, J. A. L. Aguerri, W. Boschin, R. Barrena, C. del Burgo, N. Castro-Rodríguez, E. M. Corsini, Elena D’Onghia, A. Kundert, J. Méndez‐Abreu, Rubén Sánchez-Janssen

Bibliographic record

VenueAstronomy and Astrophysics · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsHerzberg Institute of Astrophysics
FundersU.S. Department of EnergyU.S. Naval ObservatoryCase Western Reserve UniversityNational Science FoundationFermilabMax-Planck-Institut für AstronomieMax-Planck-GesellschaftChinese Academy of SciencesNew Mexico State UniversityUniversity of PortsmouthIstituto Nazionale di AstrofisicaInstituto de Astrofísica de CanariasUniversity of PittsburghLos Alamos National LaboratoryMinistero dell’Istruzione, dell’Università e della RicercaAlfred P. Sloan FoundationUniversity of WashingtonPrinceton UniversityJohns Hopkins UniversityUniversität BaselDrexel UniversityUniversity of ChicagoOhio State UniversityNational Aeronautics and Space Administration
KeywordsPhysicsAstrophysicsMerge (version control)Galaxy groupGalaxyGalaxy formation and evolutionInteracting galaxyGalaxy mergerContext (archaeology)RedshiftAstronomyPaleontologyBiology

Abstract

fetched live from OpenAlex

Context. Fossil groups (FG) are expected to be the final product of galaxy merging within galaxy groups. In simulations, they are predicted to assemble their mass at high redshift. This early formation allows for the innermost M∗ galaxies to merge into a massive central galaxy. Then, they are expected to maintain their fossil status because of the few interactions with the large-scale structure. In this context, the magnitude gap between the two brightest galaxies of the system is considered a good indicator of its dynamical status. As a consequence, the systems with the largest gaps should be dynamically relaxed.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.005

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 head0.010
GPT teacher head0.205
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 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

Citations23
Published2015
Admission routes1
Has abstractyes

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