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Record W7011312470

Mass measurements of proton-rich nuclides in the vicinity of <sup>92</sup>Ru and <sup>93</sup>Rh for νp-process models

2008· article· en· W7011312470 on OpenAlexaboutno aff

Bibliographic record

VenueCivil War Book Review · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsNuclideNucleosynthesisSupernovaIsotopeNeutrinoMass numberProtonAbundance of the chemical elements
DOInot available

Abstract

fetched live from OpenAlex

One of the long-standing questions in our understanding of the origin of the elements is the significant underproduction of light-p nuclei such as 92Mo and 94Mo by models of nucleosynthesis in various astrophysical scenarios. The recently proposed νp-process [1], which occurs due to the interaction of the neutrino wind with the proton-rich ejecta of core collapse supernova explosions, is a process which could resolve the underproduction of 92Mo and 94Mo. The final abundances of these two isotopes as well as any others synthesized by the νp-process depend directly on the values of the proton separation energies, Sp, along the νp-process reaction path; the Sp value of 93Rh is thought to be especially critical to the relative production of 92Mo and 94Mo [2]. Due to the absence of mass measurements in this region Sp(93Rh) and many of the other required Sp values were not well known. Recent mass measurements performed with the Canadian Penning Trap mass spectrometer have reduced uncertainties in the Sp values of many of the proton-rich nuclei between Mo and Pd including S p(93Rh) by factors of as much as 60. These measurements and the resulting implications for both the ∪-process path and the 92Mo/94Mo abundance ratio will be discussed. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlikeLicence.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.604
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.164
GPT teacher head0.302
Teacher spread0.138 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCivil War Book ReviewSame topicHistorical Studies on Reproduction, Gender, Health, and Societal ChangesFrench-language works237,207