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Record W2790141219 · doi:10.22323/1.204.0033

Production of Nickel-56 in Merger Accretion Disk

2015· article· en· W2790141219 on OpenAlex
Rebecca Surman, Liliana Caballero, Annelise Malkus, G. C. McLaughlin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of XIII Nuclei in the Cosmos — PoS(NIC XIII) · 2015
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsUniversity of Guelph
FundersU.S. Department of Energy
KeywordsNickelProduction (economics)Materials scienceAccretion (finance)AstrophysicsPhysicsMetallurgyEconomics

Abstract

fetched live from OpenAlex

Astrophysical systems that include a stellar-mass black hole surrounded by a rapidly accreting disk are potentially key contributors to galactic nucleosynthesis. Such systems can form during the merger of two compact objects, such as two neutron stars or a neutron star and a black hole, or during the core collapse of a massive, rotating star. Some of the mass ejected from these systems is expected to be processed in the accretion disk; any material from the inner regions of the disk will also be influenced by the disk neutrino emission as it streams outwards. Thus a careful accounting of the neutrino physics is required to accurately predict nucleosynthetic outcomes. Here we discuss how GR effects on the neutrino spectra and neutrino oscillations can impact the resulting nucleosynthesis.

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.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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