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Record W4298026222 · doi:10.1051/0004-6361/201424410

<i>Herschel</i>-ATLAS and ALMA

2014· article· en· W4298026222 on OpenAlexfundno aff
Hugo Messias, S. Dye, Neil M. Nagar, Gustavo Orellana, R. S. Bussmann, Jae Calanog, H. Dannerbauer, Hai Fu, Andrew Inohara, R. J. Ivison, M. Negrello, Dominik A. Riechers, Yun‐Kyeong Sheen, James Aguirre, S. Amber, M. Birkinshaw, N. Bourne, C. M. Bradford, Dave Clements, Asantha Cooray, G. de Zotti, R. Demarco, L. Dunne, Stephen Eales, S. Fleuren, J. Kamenetzky, Roxana Lupu, S. Maddox, Daniel P. Marrone, M. J. Michałowski, E. J. Murphy, Hien T. Nguyen, A. Omont, Kate Rowlands, D. J. B. Smith, Matt Smith, E. Valiante, J. D. Vieira

Bibliographic record

VenueAstronomy and Astrophysics · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersNational Institutes of Natural SciencesFundação para a Ciência e a TecnologiaScience and Technology Facilities CouncilJet Propulsion LaboratoryMax-Planck-GesellschaftBrookhaven National LaboratoryMinistério da Ciência, Tecnologia e InovaçãoLawrence Berkeley National LaboratoryMinisterio de Ciencia, Tecnología e Innovación ProductivaAustralian Research CouncilEuropean Southern ObservatoryNational Science CouncilYork UniversityCarnegie Mellon UniversityUniversity of ArizonaCollege of Engineering, Michigan State UniversityUniversity of WashingtonAlfred P. Sloan FoundationPrinceton UniversityJohns Hopkins UniversityNational Astronomical Observatory of JapanNew Mexico State UniversityAssociated UniversitiesVanderbilt UniversityUniversity of ChicagoU.S. Department of EnergyNational Radio Astronomy ObservatoryHarvard UniversityOhio State UniversityUniversity of California, Los AngelesUniversity of PortsmouthYale UniversityGordon and Betty Moore FoundationCalifornia Institute of TechnologyCentre National de la Recherche ScientifiqueW. M. Keck FoundationComisión Nacional de Investigación Científica y TecnológicaNational Aeronautics and Space AdministrationKenneth T. and Eileen L. Norris FoundationOffice of ScienceJames S. McDonnell FoundationNational Science Foundation
KeywordsPhysicsAstrophysicsGalaxyPhotometry (optics)StarsWavelengthAstronomySpectral energy distributionEinstein ringRedshiftGravitational lensOptics

Abstract

fetched live from OpenAlex

Context. The submillimetre-bright galaxy population is believed to comprise, aside from local galaxies and radio-loud sources, intrinsically active star-forming galaxies, the brightest of which are lensed gravitationally. The latter enable studies at a level of detail beyond what is usually possible by the observation facility.

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)0.002
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 score0.039
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.020

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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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

Citations45
Published2014
Admission routes1
Has abstractyes

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