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Record W3092009778 · doi:10.3847/2515-5172/abbe23

A Catalog of Very Large Array Sky Survey Epoch 1 Quick Look Components, Sources, and Host Identifications

2020· article· en· W3092009778 on OpenAlexaffabout
Yjan Gordon, M. M. Boyce, C. P. O’Dea, L. Rudnick, H. Andernach, A. N. Vantyghem, Stefi A. Baum, Jean-Paul Bui, Mathew Dionyssiou

Bibliographic record

VenueResearch Notes of the AAS · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of TorontoUniversity of Manitoba
Fundersnot available
KeywordsSkyFlaggingMetadataHost (biology)Epoch (astronomy)AstronomyComputer scienceRadio astronomyAstrophysicsPhysicsGalaxyWorld Wide WebGeographyCartography

Abstract

fetched live from OpenAlex

Abstract We announce here the public availability of a catalog of ν ∼ 3 GHz Quick Look observations from the first epoch of the Very Large Array Sky Survey. The catalog consists of three distinct and linkable tables, namely (a) the detected radio components, (b) the host identifications with total source properties for single-component, and close double/triple radio sources (angular separations of <10″), and (c) the Quick Look image metadata. Given the Quick Look images are limited in quality, we include data reliability flagging to improve the scientific usability of this catalog. Using our recommended quality flags, this catalog contains 1.7 × 10 6 unique radio components with S 3 GHz ≳ 1 mJy beam −1 , and 6.2 × 10 5 host IDs (including 20,000 close-double and triple radio sources) reliably detected across the entire sky at δ > −40°. The catalog and an associated User Guide have been produced as part of the Canadian Initiative for Radio Astronomy Data Analysis, and are available at https://cirada.ca/catalogues .

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0170.022
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0670.070

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 head0.107
GPT teacher head0.331
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations63
Published2020
Admission routes2
Has abstractyes

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Same venueResearch Notes of the AASSame topicRadio Astronomy Observations and TechnologyFrench-language works237,207