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Record W4387375233 · doi:10.7185/geochemlet.2332

Ion imaging of ancient zircon

2023· article· en· W4387375233 on OpenAlexaboutno aff
Christopher L. Kirkland, Tim Johnson, Jack Gillespie, Laure Martin

Bibliographic record

VenueGeochemical Perspectives Letters · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
FundersUniversity of Oxford
KeywordsZirconGeologyGeochemistryIonMineralogyChemistry

Abstract

fetched live from OpenAlex

The Idiwhaa gneiss, part of the Acasta Gneiss Complex, Canada, is a key source of information concerning formation of continental crust on the early Earth. However, zircon crystals from this oldest dated felsic crust were affected by multiple stages of alteration and metamorphism, leading to difficulties in disentangling primary from secondary processes. These grains provide an opportunity to understand the alteration processes that affect ancient zircon crystals. Ion imaging reveals pervasive recrystallisation fronts extending inwards from the margins of grains. Ahead of these recrystallisation fronts, grain cores contain isolated pockets of amorphous, but concordant, 3.99 Ga zircon that evidently escaped post-magmatic modification of U and Pb. The transport of these elements, involving the decoupling of parent and daughter isotopes, is highly heterogeneous over space and time within metamict zircon, yet localised domains still retain primary age information. Our data indicate that metamictisation of zircon alone does not lead to radiogenic Pb loss, which requires interaction with fluid.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.200
Teacher spread0.191 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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