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Recent progress on interstellar radionuclides on Earth and the Moon

2025· article· en· W4410281106 on OpenAlexaff
Dominik Koll, Sebastian Fichter, M.A.C. Hotchkis, Martin Martschini, Silke Merchel, Stefan Pavetich, Annabel Rolofs, S.G. Tims, Sebastian Zwickel, A. Wallner

Bibliographic record

VenueThe European Physical Journal A · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsInstitute of Particle Physics
FundersAustralian Institute of Nuclear Science and EngineeringAustralian Research CouncilEuropean CommissionAustralian Government
KeywordsAstrobiologyEarth (classical element)RadionuclideEarth scienceEnvironmental scienceAstronomyGeologyPhysicsNuclear physics

Abstract

fetched live from OpenAlex

Abstract The detection of interstellar radionuclides in geological archives provides insights into nucleosynthesis in stars and stellar explosions as well as interstellar medium dynamics in the Local Bubble and the Local Interstellar Cloud. In this work, current projects to detect interstellar radionuclides with accelerator mass spectrometry will be reviewed. These projects aim to address unsolved questions regarding the timing and the origin of the influxes and to establish new radionuclides for future searches. For the first time, experimental evidence for an inhomogeneous deposition of interstellar $$^{60}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mn>60</mml:mn> </mml:mmultiscripts> </mml:math> Fe on Earth will be presented and another potential source for $$^{60}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mrow/> <mml:mrow/> <mml:mn>60</mml:mn> </mml:mmultiscripts> </mml:math> Fe on Earth and the Moon, primary galactic cosmic rays, will be introduced.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score0.382

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 communication0.0000.000
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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations6
Published2025
Admission routes1
Has abstractyes

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