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Record W4232634426 · doi:10.1201/9780429502811-63

Session XA

2018· book-chapter· en· W4232634426 on OpenAlexaboutno aff
John N. Bahcall, R. Davis, Peter J. Parker, Alexei Smirnov, Roger Ulrich

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicDigital Innovation in Industries
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Computer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

XA1. Modifications of the Proton-Proton Chain. A. G. W. Cameron, Atomic Energy of Canada Limited.—The unexpectedly large cross section measured 1 for the He3(α,β)Be7 reaction implies that this reaction will complete the proton-proton chain in stars with higher temperatures and helium concentrations, supplanting the He3(He3,2p)He4 reaction. The energy generation rate is thus doubled because of the more efficient conversion of hydrogen into helium. From recent solar model calculations 2 it appears that the He3(α,γ)Be7 process did not take place in the primordial sun, but now predominates within about the central seven percent of the radius. Be7 is ionized in the solar interior. the free electron capture rate has been estimated by replacing the wave function for a K electron at the nuclear surface by that for a free electron. this rate appears to be slightly smaller at the solar center than the rate for the Be7(p,γ)B3 process, which has been computed for direct nonresonant capture using a square well. If this is correct, then the very energetic B3 neutrinos should have a flux at the earth of about 4×103 neutrinos cm−3 sec−1, which can probably be detected using a 10 000 gal tank of CCl4 in a mine (R. Davis, private communication). The modified proton-proton chain may produce the large lithium abundances in certain giant stars. Thanks are due W. A. Fowler for bringing the work of reference 1 to the writer’s attention before publication.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.376
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0450.023

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 head0.051
GPT teacher head0.238
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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