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Record W4388414347 · doi:10.7185/geochemlet.2337

Tungsten isotopes in Baffin Island lavas: Evidence of Iceland plume evolution

2023· article· en· W4388414347 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGeochemical Perspectives Letters · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaAndrew W. Mellon FoundationParks CanadaNational Geographic SocietyNational Science Foundation
KeywordsGeologyTungstenPlumeOceanographyLavaEarth scienceVolcanoGeochemistryGeographyMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Tungsten and helium isotope ratios in lavas derived from deeply rooted mantle plumes are tracers of lower mantle compositional heterogeneity or core-mantle exchange.We measured the tungsten isotopic compositions of lavas with exceptionally high-3 He/ 4 He ratios that erupted above the head of the Iceland plume on Baffin Island.These lavas have 182 W/ 184 W ratios that are indistinguishable from the convecting upper mantle, unlike younger lavas in Iceland that have lower 182 W/ 184 W ratios.This implies that only the Iceland plume tail was infused with low-182 W/ 184 W material, likely from the core.If high-3 He/ 4 He helium also comes from the core, then diffusion across the core-mantle boundary may stratify plume-source mantle domains, with elevated 3 He/ 4 He travelling farther into the lower mantle than 182 W/ 184 W anomalies.Over Earth history, tungsten diffusion from the core can explain the decline of 182 W/ 184 W in the convecting mantle.We speculate that the uneven pace of this decline corresponds with evolving lower mantle dynamics.

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.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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