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Record W4256413722 · doi:10.1093/petrology/egs014

Detecting Peritectic Garnet in the Peraluminous Cardigan Pluton, New Hampshire

2012· article· en· W4256413722 on OpenAlexaff
Michael J. Dorais, M. Tubrett

Bibliographic record

VenueJournal of Petrology · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPlutonGeologyGeochemistrySeismology

Abstract

fetched live from OpenAlex

J. Petrology (2012) 53(2): 299-324 doi:10.1093/petrology/egr063 The Authors wish to point out that Figure 15 in their paper does not adequately portray the record of feldspar fractionation preserved in the garnet crystals. The following additional figure is offered to clarify a point that was opaque in the manuscript. Figure 1A shows chondrite-normalized Eu and Gd values for Cardigan garnet phenocrysts (filled symbols) and mantles (open symbols) that overgrew peritectic cores. The GdN values show a large decrease, ranging from 140 to 40 times chondrites, compared to a relatively minor decrease in EuN (∼3 to 1 times chondrites). As a result, the Eu/Eu* increases toward the garnet rims (Figure 1B), not because the Eu concentrations increased during garnet growth, but because the Eu* value (interpolated between GdN and SmN) decreased at a higher rate. Thus, the garnet phenocrysts and mantles preserve a record of feldspar fractionation, but this is not evident by the Eu/Eu* values alone.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.209
Teacher spread0.193 · 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
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

Citations1
Published2012
Admission routes1
Has abstractyes

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