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Snowmass2021 - Letter of interest cosmology intertwined II: The hubble constant tension

2021· article· en· W3080176159 on OpenAlexaff
Eleonora Di Valentino, Luis A. Anchordoqui, Özgür Akarsu, Yacine Ali-Haïmoud, Luca Amendola, Nikki Arendse, Marika Asgari, M. Ballardini, Spyros Basilakos, E. S. Battistelli, Micol Benetti, Simon Birrer, F. R. Bouchet, Marco Bruni, Erminia Calabrese, David Camarena, Salvatore Capozzıello, Angela Chen, Jens Chluba, Anton Chudaykin, Eoin Ó Colgáin, Francis-Yan Cyr-Racine, P. de Bernardis, Javier de Cruz Pérez, Jacques Delabrouille, Jo Dunkley, Celia Escamilla‐Rivera, A. Ferté, F. Finelli⋆, Wendy L. Freedman, Noemi Frusciante, Elena Giusarma, Adrià Gómez-Valent, Julien Guy, Will Handley, I. Harrison, Luke Hart, Alan Heavens, H. Hildebrandt, D. E. Holz, Dragan Huterer, Mikhail M. Ivanov, Shahab Joudaki, Marc Kamionkowski, Tanvi Karwal, Lloyd Knox, Suresh Kumar, Luca Lamagna, J. Lesgourgues, Matteo Lucca, Valerio Marra, S. Masi, S. Matarrese, Arindam Mazumdar, A. Melchiorri, Olga Mena, Laura Mersini–Houghton, Vivian Miranda, Cristian Moreno-Pulido, David F. Mota, J. Muir, Ankan Mukherjee, Florian Niedermann, Alessio Notari, Rafael C. Nunes, Francesco Pace, Andronikos Paliathanasis, A. Palmese, Supriya Pan, D. Paoletti, V. Pettorino, F. Piacentini, Vivian Poulin, Marco Raveri, Adam G. Riess, Vincenzo Salzano, Emmanuel N. Saridakis, Anjan A. Sen, Arman Shafieloo, Anowar J. Shajib, Joseph Silk, Alessandra Silvestri, Martin S. Sloth, Tristan L. Smith, Carsten van de Bruck, Licia Verde, Luca Visinelli, B. D. Wandelt, Deng Wang, Jian‐Min Wang, Anil Kumar Yadav, Weiqiang Yang

Bibliographic record

VenueAstroparticle Physics · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCosmology and Gravitation Theories
Canadian institutionsUniversity of Waterloo
FundersScience and Technology Facilities Council
KeywordsPhysicsCosmologyHubble's lawAstrophysicsTension (geology)Cosmological constantAstronomyConstant (computer programming)Theoretical physicsDark energyClassical mechanics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0200.008

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 head0.261
Teacher spread0.234 · 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 designTheoretical or conceptual
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

Citations519
Published2021
Admission routes1
Has abstractno

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