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Record W1654120567 · doi:10.22323/1.052.0097

Space densities and unified models of AGN

2008· article· en· W1654120567 on OpenAlexaff
M. A. Gendre, Jasper Wall

Bibliographic record

VenueProceedings of From Planets to Dark Energy: the Modern Radio Universe — PoS(MRU) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAstrophysicsRedshiftPhysicsSkyLuminosityLuminosity functionPopulationSource countsAstronomySample (material)Galaxy

Abstract

fetched live from OpenAlex

The Bright sample for Combined EIS-NVSS Survey Of Radio Sources (CENSORS-Bright) was defined by selecting all sources with S 1.4GHz ≥1.3Jy from the NRAO VLA Sky Survey (NVSS) in the north field of the Faint Images of the Radio Sky at Twenty-cm (FIRST) survey.We carried out FRI/FRII morphology classification from NVSS and FIRST survey data; to complete this process, new 8GHz VLA observations for 31 sources were obtained at 0.24 arcsec resolution.Optical identifications and redshift information were compiled for about ∼80% of the 270 radio sources in the sample, the mean redshift being ∼0.6.A major goal of this sample is a better definition of the individual luminosity distributions and source counts for FRI and FRII sources, in order to determine accurately the evolution of the luminosity function for both types.Amongst the aims are the issues of whether the two populations are really distinct, whether physical evolution schemes permit one type to evolve into the other, whether the dual-population unified scheme for radio AGN remains viable, and the role radio AGN -star-formation feedback mechanisms.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0040.007
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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 designSimulation or modeling
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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

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