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Record W3125073775

[no title]

2019· article· en· W3125073775 on OpenAlexaff
Sreevani Jarugula, J. D. Vieira, Justin Spilker, Y. Apostolovski, Manuel Aravena, M. Béthermin, C. De Breuck, Chian-Chou Chen, Daniel Cunningham, Chenxing Dong, T. R. Greve, Christopher C. Hayward, Yashar Hezaveh, Katrina C. Litke, A. C. Mangian, Desika Narayanan, Kedar A. Phadke, C. Reuter, P. van der Werf, A. Weiß

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsSaint Mary's UniversityDalhousie University
FundersNational Institutes of Natural SciencesNational Astronomical Observatory of JapanGordon and Betty Moore FoundationAlfred P. Sloan FoundationNational Science FoundationKorea Astronomy and Space Science InstituteNational Radio Astronomy Observatory
KeywordsPhysicsAstrophysicsGalaxyStar (game theory)AstronomyStar formation
DOInot available

Abstract

fetched live from OpenAlex

Author: Jarugula, S. et al.; Genre: Journal Article; Issued: 2019-08; Keywords: galaxies: high-redshift, galaxies: ISM, galaxies: starburst, ISM: molecules, Astrophysics - Astrophysics of Galaxies; Title: Spatially Resolved Water Emission from Gravitationally Lensed Dusty Star-forming Galaxies at z ̃ 3

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0000.002
Open science0.0030.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.5500.092

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 head0.229
Teacher spread0.211 · 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 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

Citations23
Published2019
Admission routes1
Has abstractyes

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