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Record W4401390204 · doi:10.1130/gsab.s.26510674

Supplemental Material: Lawsonite eclogite records subduction rheology and slab detachment, Faro, Yukon-Tanana Terrane, Yukon Territory, Canada

2024· preprint· en· W4401390204 on OpenAlexaboutno aff
Carly Faber, C. D. Rowe

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyEclogiteLawsoniteAmphiboleEpidoteChloriteGeochemistryTerranePlagioclaseMineralogyElectron backscatter diffractionSubductionQuartzPaleontologyTectonicsChemistryCrystallography

Abstract

fetched live from OpenAlex

Figure S1 includes large thin section scans for all samples. Figure S2 comprises electron backscatter diffraction (EBSD) large area maps for samples F09c and F11. Figure S3 includes additional isopleths or garnet core estimates for samples F09c and F11. Figure S4 includes EBSD GROD (grain reference orientation deviation) maps for two garnets in eclogite showing minor internal misorientation consistent with fragmented compositional zoning. Tables S1–S9 include: (S1) a table of all samples and sample mineralogy; (S2) X-ray fluorescence data for samples F09c, F11, and F13c; (S3) all garnet analyses for Fig. 4A; (S4) all clinopyroxene analyses for Fig. 4B; (S3S5) all amphibole analyses for Fig. 4D; (S6) all lawsonite analyses for Fig. 4E; (S7) all white mica analyses for samples F09c and F11; (S8) all epidote group mineral analyses for samples F09c and F11; and (S9) all chlorite analyses for samples F09c and F11.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.457
Threshold uncertainty score0.824

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4570.068

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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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.

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
Published2024
Admission routes1
Has abstractyes

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