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The messy death of a multiple star system and the resulting planetary nebula as observed by JWST
Orsola De Marco, Muhammad Akashi, S. Akras, J. Alcolea, Isabel Aleman, P. Amram, Bruce Balick, E. De Beck, Eric G. Blackman, H. M. J. Boffin, P. Boumis, Jesse Bublitz, B. Bucciarelli, V. Bujarrabal, J. Cami, N. Chornay, You‐Hua Chu, R. L. M. Corradi, Adam Frank, D. A. García–Hernández, J. García–Rojas, Guillermo Garcı́a-Segura, Veronica Gómez-Llanos, Denise R. Gonçalves, M. A. Guerrero, David Jones, Amanda I. Karakas, Joel H. Kastner, Sun Kwok, F. Lykou, A. Manchado, M. Matsuura, Iain McDonald, B. Miszalski, S. Mohamed, A. Monreal‐Ibero, H. Monteiro, Rodolfo Montez, Paula Moraga Baez, C. Morisset, Jason Nordhaus, C. Mendes de Oliveira, Zara Osborn, Masaaki Otsuka, Q. A. Parker, E. Peeters, Bruno Quint, G. Quintana-Lacaci, M. P. Redman, Ashley J. Ruiter, L. Sabin, R. Sahai, C. Sánchez Contreras, M. Santander-García, I. R. Seitenzahl, Noam Soker, A. K. Speck, Letizia Stanghellini, W. Steffen, J. A. Toalá, Toshiya Ueta, G. C. Van de Steene, H. Van Winckel, P. Ventura, E. Villaver, W. H. T. Vlemmings, J. R. Walsh, R. Wesson, A. A. Zijlstra
Bibliographic record
VenueNature Astronomy · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsUniversity of British ColumbiaWestern University
FundersSLAC National Accelerator LaboratoryAgencia Estatal de InvestigaciónErasmus+European Regional Development FundDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoScience and Technology Facilities CouncilOffice of ScienceJet Propulsion LaboratoryUniversity of Cape TownChina Scholarship CouncilAgencia Canaria de Investigación, Innovación y Sociedad de la InformaciónEuropean CommissionMinisterio de Ciencia e InnovaciónJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoSwedish National Space AgencyNational Radio Astronomy ObservatoryU.S. Department of EnergyCalifornia Institute of TechnologyCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São PauloNational Research FoundationUniversidade Federal de ItajubáSpace Telescope Science InstituteFundação de Amparo à Pesquisa do Estado de Minas GeraisMinisterio de Ciencia, Innovación y UniversidadesNatural Sciences and Engineering Research Council of CanadaUniversity of MiamiNational Aeronautics and Space AdministrationAustralian GovernmentNational Science Foundation
KeywordsPhysicsPlanetary nebulaNebulaAstrophysicsAstronomyJames Webb Space TelescopeStarsAsymptotic giant branchPlanetProtoplanetary nebulaStellar mass lossStellar massStar formationGalaxyStellar evolution
Abstract
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 distilled prediction
Teacher imitationNot 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.727
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.008
GPT teacher head0.201
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Citations39
Published2022
Admission routes2
Has abstractno