MétaCan
Menu
Back to cohort
Record W2795775497 · doi:10.26698/ao4elt5.0029

The Driving Science for TMT's AO Systems

2017· article· en· W2795775497 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the Adaptive Optics for Extremely Large Telescopes 5 · 2017
Typearticle
Languageen
FieldEngineering
TopicOptical Systems and Laser Technology
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaNational Astronomical Observatory of JapanAssociation of Canadian Universities for Research in AstronomyNational Institutes of Natural SciencesCalifornia Institute of TechnologyGordon and Betty Moore FoundationNational Science Foundation
KeywordsComputer science

Abstract

fetched live from OpenAlex

We highlight several potential observing programs for the Thirty Meter Telescope that impose technically challenging requirements on the performance and operation of the adaptive optics system(s). Some requirements impact the science instruments and the on-detector-guide-windows. Requirements that appear technically challenging include the time to setup the LGS/MCAO system, rapid real-time selection of guide stars for any position on the sky, use of extended AO guide objects, relative motions between several non-sidereal guide targets and AO operation in the vicinity of bright sources. Less challenging but still essential requirements include observation planning tools that allow identification of times when non-sidereal targets will pass next to suitable natural guide stars. AO performance estimates for extended guide targets and the availability of suitable AO guide stars over the whole sky are also shown.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.018
GPT teacher head0.243
Teacher spread0.226 · 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