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Record W2292092269 · doi:10.1051/0004-6361/201527817

High-energy sources at low radio frequency: the Murchison Widefield Array view of<i>Fermi</i>blazars

2016· article· en· W2292092269 on OpenAlexaff
M. Giroletti, F. Massaro, R. D’Abrusco, Rocco Lico, D. Burlon, N. Hurley‐Walker, M. Johnston‐Hollitt, John Morgan, V. Pavlidou, M. E. Bell, G. Bernardi, N. D. R. Bhat, Judd D. Bowman, F. Briggs, R. J. Cappallo, B. E. Corey, A. A. Deshpande, A. Ewall-Rice, D. Emrich, B. M. Gaensler, R. Goeke, L. J. Greenhill, B. J. Hazelton, L. Hindson, D. L. Kaplan, J. C. Kasper, E. Kratzenberg, L. Feng, Daniel Jacobs, N. A. Kudryavtseva, E. Lenc, C. J. Lonsdale, M. J. Lynch, B. McKinley, S. R. McWhirter, D. A. Mitchell, M. F. Morales, E. Morgan, Divya Oberoi, A. R. Offringa, S. M. Ord, B. Pindor, T. Prabu, P. Procopio, J. Riding, A. E. E. Rogers, D. Anish Roshi, N. Udaya Shankar, K. S. Srivani, R. Subrahmanyan, S. J. Tingay, M. Waterson, R. B. Wayth, R. L. Webster, A. R. Whitney, A. Williams, Christopher Williams

Bibliographic record

VenueAstronomy and Astrophysics · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersHigh Energy Accelerator Research OrganizationCommissariat à l'Énergie Atomique et aux Énergies AlternativesIstituto Nazionale di AstrofisicaCentre National de la Recherche ScientifiqueAgenzia Spaziale ItalianaIstituto Nazionale di Fisica NucleareDepartment of Industry and Science, Australian GovernmentJapan Aerospace Exploration AgencyU.S. Department of EnergyCurtin University of TechnologyNational Aeronautics and Space AdministrationNvidiaAstronomy Australia LimitedHarvard UniversityMinistry of Education, Culture, Sports, Science and TechnologyCommonwealth Scientific and Industrial Research OrganisationInstitut National de Physique Nucléaire et de Physique des ParticulesVetenskapsrådetAustralian Government
KeywordsBlazarPhysicsLow frequencyContext (archaeology)Fermi Gamma-ray Space TelescopeRadio spectrumAstrophysicsRadio frequencySkyAstronomyTelecommunicationsComputer scienceGeology

Abstract

fetched live from OpenAlex

Context. Low-frequency radio arrays are opening a new window for the study of the sky, both to study new phenomena and to better characterize known source classes. Being flat-spectrum sources, blazars are so far poorly studied at low radio frequencies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.004
GPT teacher head0.174
Teacher spread0.169 · 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.

Study designOther design
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

Citations40
Published2016
Admission routes1
Has abstractyes

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