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Record W2397009504 · doi:10.1051/eas/1575084

The CCAT Observatory: Science and Facility

2015· article· en· W2397009504 on OpenAlexaff
G. J. Stacey, F. Bertoldi, B. Magnelli, J. Stützki, P. Schilke, J. Glenn, John Bally, Riccardo Giovanelli, Dominik A. Riechers, A. Karim, R. Plume

Bibliographic record

VenueEAS Publications Series · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPhysicsGalaxyAstrophysicsObservatoryTelescopeAstronomySkyMilky WayGalaxy clusterExtragalactic astronomyPoint sourceStar formationOptics

Abstract

fetched live from OpenAlex

CCAT is a 25 meter submm telescope proposed to be built at 5600 meters elevation on Cerro Chajnantor overlooking the ALMA site in northern Chile. The CCAT site is the best submm site that is accessible by truck, so that with its large aperture, exceptionally good surface accuracy (∼17 μm rms total wavefront error, WFE), state-of-the-art instrumentation and large (≥20 arcmin) field-of-view (FoV) CCAT will deliver unsurpassed point source sensitivity and mapping speeds across the submm telluric windows. Our primary science goals are: (1) to trace the obscurred star formation (SF) history of the Universe through multicolor submm surveys of 100's deg2 on the sky followed up by spectroscopy to characterize the energy sources in dusty SF galaxies; (2) to measure and characterize the SF process in the Milky Way galaxy and nearby resolved galaxies through submm spectroscopic and dust continuum surveys; and (3) to probe galaxy cluster astrophysics through the Sunyaev-Zeldovich (SZ) effect.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0780.035

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 head0.028
GPT teacher head0.236
Teacher spread0.208 · 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
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
Published2015
Admission routes1
Has abstractyes

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