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Record W1969526003 · doi:10.1139/e05-022

105 Million years of igneous activity, Wrangell, Alaska, to Prince Rupert, British Columbia

2005· article· en· W1969526003 on OpenAlexvenueaboutno aff
M. L. Crawford, William A. Crawford, Jennifer Lindline

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsGeologyBatholithTerraneIgneous rockSubductionPlutonGeochemistryContinental arcMantle (geology)Island arcBasaltPaleontologyTectonics

Abstract

fetched live from OpenAlex

The Coast Mountains orogen, which lies along coastal British Columbia and southeastern Alaska, records extensive Mesozoic and Cenozoic igneous activity. Here we focus on the two youngest periods: 105–50 Ma and 30 Ma – present. The history of subduction, orogen uplift, and, finally, extension associated with this magmatic activity can be related to plate motion since the mid-Cretaceous. The 105–50 Ma period is related to terrane accretion and subduction. The northwest–southeast-trending Coast shear zone divides the resulting Coast Mountains calc-alkaline continental margin batholith into a western (105–90 Ma) and an eastern (80–50 Ma) arc. Melting of hydrous mantle overlying a dehydrating slab generated the plutons of the western arc. The plutons of the eastern arc show a wider range of compositions. Their origin consists of mantle melts modified by melts from lower crustal rocks of continental affinity and possibly amphibolitic hydrated basalt. In both parts of the arc, igneous bodies also resulted from crustal melting; these are very abundant in the eastern arc. During the younger period bi-modal igneous suites consisting of mantle-derived mafic magmas and coeval crustal melts are associated with crustal extension and block faulting.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.002

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 head0.011
GPT teacher head0.185
Teacher spread0.174 · 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

Citations13
Published2005
Admission routes2
Has abstractyes

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