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Record W2050188062 · doi:10.1088/0004-637x/801/2/72

THE<i>HERSCHEL</i>COMPREHENSIVE (U)LIRG EMISSION SURVEY (HERCULES): CO LADDERS, FINE STRUCTURE LINES, AND NEUTRAL GAS COOLING

2015· article· en· W2050188062 on OpenAlexafffund

Bibliographic record

VenueThe Astrophysical Journal · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsUniversity of Lethbridge
FundersU.S. Naval Research LaboratoryNational Astronomical Observatories, Chinese Academy of SciencesScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaOffice of Naval ResearchCentre National de la Recherche ScientifiqueUniversità degli Studi di PadovaCentre National d’Etudes SpatialesCardiff UniversityUniversity of SussexNational Aeronautics and Space AdministrationCalifornia Institute of TechnologyUniversity of LethbridgeImperial College LondonCanadian Space AgencyUK Space Agency
KeywordsLuminous infrared galaxyInfraredLuminosityGalaxyEmission spectrumLine (geometry)Infrared astronomyActive galactic nucleus

Abstract

fetched live from OpenAlex

Ultra) luminous infrared galaxies ((U)LIRGs) are objects characterized by their extreme infrared (8-1000 m) luminosities (L LIRG > 10 11 L and L ULIRG > 10 12 L ). The Herschel Comprehensive ULIRG Emission Survey (PI: van der Werf) presents a representative flux-limited sample of 29 (U)LIRGs that spans the full luminosity range of these objects (10 11 L L IR 10 13 L ). With the Herschel Space Observatory, we observe [C ii] 157 m, [O i] 63 m, and [O i] 145 m line emission with Photodetector Array Camera and Spectrometer, CO J = 4-3 through J = 13-12, [C i] 370 m, and [C i] 609 m with SPIRE, and low-J CO transitions with ground-based telescopes.

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)0.000
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 score0.056
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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

Citations176
Published2015
Admission routes2
Has abstractyes

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