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Record W4390136624 · doi:10.48550/arxiv.2312.13612

A seven-Earth-radius helium-burning star inside a 20.5-min detached binary

2023· preprint· en· W4390136624 on OpenAlexfundno aff
Jie Lin, Chengyuan Wu, Heran Xiong, Xiaofeng Wang, Péter Németh, Zhanwen Han, Jiangdan Li, N. Elias–Rosa, I. Salmaso, A. V. Filippenko, Thomas G. Brink, Yi Yang, Xuefei Chen, Shengyu Yan, Jujia Zhang, Sufen Guo, Yongzhi Cai, Jun Mo, Gaobo Xi, Jialian Liu, Jincheng Guo, Qiqi Xia, Danfeng Xiang, Gaici Li, Zhenwei Li, WeiKang Zheng, Jicheng Zhang, Qichun Liu, Fangzhou Guo, Liyang Chen, Wenxiong Li

Bibliographic record

VenuearXiv (Cornell University) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsnot available
FundersPlanetary Science DivisionDeutsches Elektronen-SynchrotronAgencia Estatal de InvestigaciónScience Mission DirectorateSmithsonian Astrophysical ObservatoryJet Propulsion LaboratoryInstituto de Astrofísica de CanariasMax-Planck-Institut für AstronomieUniversity of California, Los AngelesStockholms UniversitetEuropean CommissionMinisterio de Ciencia e InnovaciónLos Alamos National LaboratoryUniversity of WashingtonEuropean Space AgencyJohns Hopkins UniversityUniversità degli Studi di PadovaMinistero dell’Istruzione, dell’Università e della RicercaQueen's UniversityDurham UniversityIstituto Nazionale di AstrofisicaSmithsonian InstitutionNational Natural Science Foundation of ChinaGordon and Betty Moore FoundationQueen's University BelfastEötvös Loránd TudományegyetemCalifornia Institute of TechnologyW. M. Keck FoundationSpace Telescope Science InstituteNational Science FoundationNational Central UniversityGrantová Agentura České RepublikyNational Aeronautics and Space Administration
KeywordsPhysicsAstrophysicsSubdwarfOrbital periodWhite dwarfAstronomyOrbital inclinationLight curveRADIUSX-ray binaryBinary starHeliumStarsNeutron starBinary numberAtomic physics

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.194
Teacher spread0.129 · 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 designObservational
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

Citations1
Published2023
Admission routes1
Has abstractyes

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