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Record W3198998812 · doi:10.3389/feart.2021.743640

The Influence of Orbital Forcing on 10Be Deposition in Greenland Over the Glacial Period

2021· article· en· W3198998812 on OpenAlexfundno aff
Anna Sturevik-Storm, Minjie Zheng, Ala Aldahan, Göran Possnert, Raimund Muscheler

Bibliographic record

VenueFrontiers in Earth Science · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersNatural Environment Research CouncilNational Institute of Polar ResearchUnited Arab Emirates UniversityUppsala UniversitetCentre National de la Recherche ScientifiqueKorea Polar Research InstituteLunds UniversitetAgence Nationale de la RechercheNederlandse Organisatie voor Wetenschappelijk OnderzoekInstitut Polaire Français Paul Emile VictorNatural Resources CanadaFonds Wetenschappelijk OnderzoekOffice of Polar ProgramsFonds De La Recherche Scientifique - FNRSSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungVetenskapsrådetNational Science Foundation
KeywordsIce coreGlacial periodGeologyEarth's magnetic fieldOrbital forcingCosmogenic nuclideIce sheetPaleoclimatologyDeposition (geology)RadionuclideClimatologyClimate changePhysical geographyOceanographyCosmic rayPaleontologyPhysicsAstronomyMagnetic fieldSediment

Abstract

fetched live from OpenAlex

Understanding the transport and deposition of the cosmogenic isotope 10 Be is vital for the application of the isotope data to infer past changes of solar activity, to reconstruct past Earth’s magnetic field intensity and climate change. Here, we use data of the cosmogenic isotope 10 Be from the Greenland ice cores, namely the NEEM and GRIP ice cores, to identify factors controlling its distribution. After removing the effects of the geomagnetic field on the cosmogenic radionuclide production rate, the results expose imprints of the 20–22 ka precession cycle on the Greenland 10 Be records of the last glacial period. This finding can further improve the understanding of 10 Be variability in ice sheets and has the prospect of providing better reconstructions of geomagnetic and solar activity based on cosmogenic radionuclide records.

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)0.001
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 score0.015
Threshold uncertainty score0.848

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 studies0.0000.001
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 head0.007
GPT teacher head0.226
Teacher spread0.218 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

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