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Record W2763201488 · doi:10.3847/1538-4357/aa9185

Physical Properties of 15 Quasars at z ≳ 6.5

2017· article· en· W2763201488 on OpenAlexfundno aff
Chiara Mazzucchelli, Eduardo Bañados, Bram Venemans, Roberto Decarli, Emanuele Paolo Farina, Fabian Walter, Anna–Christina Eilers, Hans‐Walter Rix, Robert A. Simcoe, Daniel Stern, Xiaohui Fan, Edward F. Schlafly, Gisella De Rosa, Joseph F. Hennawi, K. C. Chambers, J. Greiner, W. S. Burgett, P. W. Draper, N. Kaiser, R. P. Kudritzki, E. A. Magnier, N. Metcalfe, C. Waters, R. J. Wainscoat

Bibliographic record

VenueThe Astrophysical Journal · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersPlanetary Science DivisionScience Mission DirectorateSmithsonian Astrophysical ObservatoryUniversity of California, Los AngelesJet Propulsion LaboratoryMax-Planck-Institut für AstronomieEötvös Loránd TudományegyetemNational Astronomical Observatory of JapanNational Central UniversityDurham UniversityIstituto Nazionale di AstrofisicaW. M. Keck FoundationCentre National de la Recherche ScientifiqueDeutsche ForschungsgemeinschaftQueen's University BelfastSmithsonian InstitutionNational Radio Astronomy ObservatoryAgence Nationale de la RechercheInternational Max Planck Research School for Advanced Methods in Process and Systems EngineeringNational Science CouncilKorea Astronomy and Space Science InstituteSpace Telescope Science InstituteNational Institutes of Natural SciencesUniversität HeidelbergLeibniz-GemeinschaftUniversity of Notre DameJohns Hopkins UniversityQueen's UniversityOhio State UniversityMax-Planck-GesellschaftNational Science FoundationUniversity of MinnesotaCalifornia Institute of TechnologyNational Aeronautics and Space Administration
KeywordsPhysicsQuasarAstrophysicsAstronomyGalaxy

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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

Citations316
Published2017
Admission routes1
Has abstractyes

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