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Record W1607250175

THIRTY METER TELESCOPE (TMT) SITE MERIT FUNCTION

2011· article· es· W1607250175 on OpenAlexfundvenueno aff
Matthias Schöck, J. Stuart Nelson, S. Els, P. Gillett, Ángel Otarola, Reed Riddle, Warren Skidmore, Tony Travouillon, Robert Blum, G. A. Chanan, De Young, S. G. Djorgovski, Derrick Salmon, Eric Steinbring, A. Walker

Bibliographic record

VenueNPARC · 2011
Typearticle
Languagees
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaAssociation of Canadian Universities for Research in AstronomyCalifornia Institute of TechnologyGordon and Betty Moore FoundationNational Science Foundation
KeywordsPhysicsTelescopeMetreFunction (biology)Figure of meritRemote sensingAstronomyOpticsGeography
DOInot available

Abstract

fetched live from OpenAlex

"TMT collected a large multi-dimensional data set of site characteristics at its five candidate sites. In order to make an informed site decision, this data set was reduced to a one dimensional metric, the site merit function. This paper describes examples of some of the coefficients of this merit function, with an emphasis on the interpretation of the results of such an approach and its limitations."

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0090.002

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 head0.015
GPT teacher head0.196
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations2
Published2011
Admission routes2
Has abstractyes

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