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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 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)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.555
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4450.437

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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Explore more

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