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Record W6943963768 · doi:10.1594/pangaea.962323

Late Quaternary Sr-Nd-Pb isotope composition of the siliciclastic sediment fraction of the marine sediment core PS72/287-3 from Barrow Strait, Canadian Arctic Archipelago

2008· dataset· en· W6943963768 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2008
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
FundersDeutsche Forschungsgemeinschaft
KeywordsDeglaciationSiliciclasticSedimentGlacial periodProvenanceRadiogenic nuclideIce sheetQuaternary

Abstract

fetched live from OpenAlex

The Sr-Nd-Pb isotope composition of siliciclastic sediments from the marine sediment core PS72/287-3 from Barrow Strait was analyzed to identify changing sediment provenances during the last deglaciation and the Holocene. Barrow Strait was blocked by the confluent Laurentide and Innuitian ice sheets during the last glacial period and is hence very interesting to study deglaciation processes in the Canadian Arctic. Varying Sr and Nd isotope ratios during the deglacial period suggest changing sediment sources probably related to ice sheet dynamics and sediment transport processes. After the deglacial period, radiogenic isotope ratios evolved less variable, indicating just slight changes in sediment provenance related to more stable environmental conditions during the Holocene. Sample preparation and radiogenic isotope analysis were conducted in the laboratories of the Isotope Geochemistry Group at MARUM – Center for Marine Environmental Sciences, University of Bremen, Germany. Sediment samples were leached using a NaOH-buffered solution of hydroxylamine hydrochloride and 15% acetic acid in order to separate the siliciclastic sediment fraction (adapted from Gutjahr et al. 2007, https://doi.org/10.1016/j.chemgeo.2007.03.021). Using a Thermo-Fisher Scientific TRITON Plus thermal ionization mass spectrometer (TIMS), the isotope ratios were determined after the elements had been separated by column chemistry.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.275
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreDataset

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

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