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Record W2004799803 · doi:10.1017/s1743921305002437

The Sloan Digital Sky Survey QSO absorption line catalogue

2005· article· en· W2004799803 on OpenAlexaff
Donald G. York, Daniel Vanden Berk, Gordon T. Richards, Arlin Crotts, Pushpa Khare, J. T. Lauroesch, Martin Lemoine, Scott Burles, Mariangela Bernardi, F. J. Castander, Josh Frieman, J. Loveday, Avery Meiksin, R. C. Nichol, David J. Schlegel, Donald P. Schneider, Mark SubbaRao, Chris Stoughton, Alexander S. Szalay, B. Yanny, Yusra AlSayyad, Abhishek Kumar, Britt Lundgren, Natela Shanidze, Johnny Vanlandingham, Matthew Wood, Britt Baugher, J. Brinkmann, Robert J. Brunner, M. Fukugita, Patrick B. Hall, Timothy M. Heckman, Lewis M. Hobbs, Craig J. Hogan, Lam Hui, E. B. Jenkins, Daniel Kunstz, Brice Ménard, Osamu Nakamura, Jean M. Quashnock, Michael L. Stein, Aniruddha R. Thakar, David A. Turnshek, D. E. Welty

Bibliographic record

VenueProceedings of the International Astronomical Union · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsYork University
FundersLos Alamos National LaboratoryU.S. Naval ObservatoryFermilabMax-Planck-Institut für AstronomieMax-Planck-GesellschaftUniversity of PittsburghJohns Hopkins UniversityUniversity of ChicagoU.S. Department of EnergyPrinceton UniversityNew Mexico State UniversityUniversity of PortsmouthNational Science FoundationUniversity of WashingtonAlfred P. Sloan FoundationNational Aeronautics and Space Administration
KeywordsSkyRedshiftAstrophysicsLine (geometry)QuasarAbsorption (acoustics)PhysicsSpectral lineConstruct (python library)Absorption spectroscopyAstronomyComputer scienceOpticsGalaxyMathematicsGeometry

Abstract

fetched live from OpenAlex

The spectra of the Sloan Digital Sky Survey (SDSS) are being used to construct a catalogue of QSO absorption lines, for use in studies of abundances, relevant radiation fields, number counts as a function of redshift, and other matters, including the evolution of these parameters. The catalogue includes intervening, associated, and BAL absorbers, in order to allow a clearer definition of the relationships between these three classes. We describe the motivation for and the data products of the project to build the SDSS QSO absorption line catalogue.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.038
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.013
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.033

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 head0.201
Teacher spread0.191 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2005
Admission routes1
Has abstractyes

Explore more

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