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Record W4213372451 · doi:10.1088/0004-6256/141/6/187

THE RADIAL VELOCITY EXPERIMENT (RAVE): THIRD DATA RELEASE

2011· article· en· W4213372451 on OpenAlexaff
A. Siebert, M. Williams, A. Siviero, W. Reid, C. Boeche, Matthias Steinmetz, J. P. Fulbright, U. Munari, T. Zwitter, F. G. Watson, Rosemary F. Ġ. Wyse, Roelof S. de Jong, H. Enke, Borja Anguiano, D. Burton, C. J. P. Cass, Kristin Fiegert, M. Hartley, Andreas Ritter, K. S. Russel, M. Stupar, O. Bienaymé, K. C. Freeman, G. Gilmore, E. K. Grebel, A. Helmi, Julio F. Navarro, James Binney, Joss Bland‐Hawthorn, R. Campbell, Benoît Famaey, Ortwin Gerhard, B. K. Gibson, G. Matijevič, Q. A. Parker, G. M. Seabroke, Sanjib Sharma, M. C. Smith, Elizabeth Wylie-de Boer

Bibliographic record

VenueThe Astronomical Journal · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsUniversity of Victoria
FundersScience and Technology Facilities Council
KeywordsStarsRadial velocityMilestonePhysicsAstrophysicsMetallicityAstronomyGeography

Abstract

fetched live from OpenAlex

We present the third data release of the RAdial Velocity Experiment (RAVE) which is the first milestone of the RAVE project, releasing the full pilot survey. The catalog contains 83,072 radial velocity measurements for 77,461 stars in the southern celestial hemisphere, as well as stellar parameters for 39,833 stars. This paper describes the content of the new release, the new processing pipeline, as well as an updated calibration for the metallicity based upon the observation of additional standard stars. Spectra will be made available in a future release. The data release can be accessed via the RAVE Web site. © 2011. The American Astronomical Society. All rights reserved.

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)0.001
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 score0.094
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.252
Teacher spread0.209 · 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

Citations172
Published2011
Admission routes1
Has abstractyes

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