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The Visible and Infrared Survey Telescope for Astronomy (VISTA): Design, Technical Overview and Performance.

2014· article· en· W3103366460 on OpenAlexfundno aff
William J. Sutherland, Jim Emerson, Gavin Dalton, Eli Atad‐Ettedgui, Steven Beard, Richard J. Bennett, Andrew Born, Martin E. Caldwell, Paul Clark, Simon C. Craig, David Henry, Paul Jeffers, Bryan Little, Alistair M. McPherson, J. R. Murray, Malcolm Stewart, Brian Stobie, David Terrett, Kim Ward, Martin S. Whalley, Guy F. Woodhouse

Bibliographic record

VenueSpringer Link (Chiba Institute of Technology) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
FundersScience and Technology Facilities CouncilQueen's UniversityKeele UniversityQueen's University BelfastCardiff UniversityDurham UniversityLiverpool John Moores UniversityUniversity of BirminghamQueen Mary University of London
KeywordsSecondary mirrorTelescopeObservatoryPhysicsFirst lightPrimary mirrorField of viewOpticsSkyAstronomyWavefrontAdaptive opticsInfraredActive opticsRemote sensingGeologyLight source

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.004
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.013

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 head0.023
GPT teacher head0.246
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 designBench or experimental
Domainnot available
GenreMethods

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

Citations102
Published2014
Admission routes1
Has abstractyes

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