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Record W2276745816 · doi:10.1088/0004-637x/809/1/63

MODELING ATMOSPHERIC EMISSION FOR CMB GROUND-BASED OBSERVATIONS

2015· article· en· W2276745816 on OpenAlexaff
Josquin Errard, P. A. R. Ade, Y. Akiba, Kam Arnold, M. Atlas, C. Baccigalupi, Darcy Barron, D. Boettger, J. Borrill, S. C. Chapman, Y. Chinone, A. Cukierman, M. Dobbs, A. Ducout, T. Elleflot, Giulio Fabbian, Chang Feng, Stephen M. Feeney, A. Gilbert, N. Goeckner-Wald, N. W. Halverson, M. Hasegawa, K. Hattori, M. Hazumi, C. A. Hill, W. L. Holzapfel, Y. Hori, Yuki Inoue, G. Jaehnig, A. H. Jaffe, O. Jeong, N. Katayama, Jonathan Kaufman, Brian Keating, Z. Kermish, Reijo Keskitalo, Theodore Kisner, M. Le Jeune, Adrian T. Lee, E. M. Leitch, D. Leon, Eric V. Linder, F. Matsuda, T. Matsumura, N. J. Miller, Mike Myers, M. Navaroli, H. Nishino, T. Okamura, H. Paar, J. Peloton, D. Poletti, Giuseppe Puglisi, Gabriel M. Rebeiz, C. L. Reichardt, P. L. Richards, C. Ross, K. M. Rotermund, David E. Schenck, B. D. Sherwin, P. Siritanasak, G. Smecher, N. Stebor, B. Steinbach, R. Stompor, Aritoki Suzuki, O. Tajima, S. Takakura, Alexei Tikhomirov, T. Tomaru, N. Whitehorn, B. Wilson, Amit Yadav, O. Zahn

Bibliographic record

VenueThe Astrophysical Journal · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsMcGill UniversityDalhousie University
FundersScience and Technology Facilities Council
KeywordsCosmic microwave backgroundAtmosphere (unit)Atmospheric modelPhysicsMeteorologyWind speedEnvironmental scienceParametric statisticsNoise (video)Computational physicsRemote sensingOpticsGeologyComputer scienceStatisticsMathematics

Abstract

fetched live from OpenAlex

Americanae nace como un proyecto conjunto que surge dentro de la Red Europea de Información y Documentación sobre América Latina (REDIAL), y que ha afrontado la Biblioteca de la Agencia Española de Cooperación Internacional para el Desarrollo (AECID). Esta nueva biblioteca virtual hace más accesibles los libros digitales de tema americanista a los investigadores y usuarios interesados de cualquier parte del mundo.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.439
Threshold uncertainty score0.417

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)0.0000.000

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 head0.045
GPT teacher head0.259
Teacher spread0.214 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations40
Published2015
Admission routes1
Has abstractyes

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