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Record W4232847859 · doi:10.17077/etd.005805

Detrital zircon U-Pb and ΕHf signature of the Yukon-Tanana terrane in Yukon, Canada

2021· dissertation· en· W4232847859 on OpenAlexaboutno aff
Emma D.L. Kroeger

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsZirconTerraneGeologyGeochemistrySignature (topology)Earth sciencePhysical geographyGeographySeismologyTectonics

Abstract

fetched live from OpenAlex

The Yukon-Tanana terrane consists of pre-Late Devonian metasedimentary rocks of the Snowcap Assemblage that are overlain by multiple unconformity bounded sequences of arc-related igneous and clastic rocks divided into the Upper Devonian-Lower Mississippian Finlayson assemblage, Middle Mississippian-Lower Permian Klinkit assemblage. The YTT arc rocks formed outboard of coeval oceanic assemblages of the Slide Mountain terrane. This study presents new U-Pb and Hf isotopic data from zircon to better characterize these assemblages. Magmatism in the Finlayson assemblage initiated by 367 Ma and defines the peak of felsic magmatism in the YTT arc. Subsequent magmatic cycles show diminished signals in the detrital record with an increase to more mafic magmatism and a trajectory towards juvenile εHf values by early Pennsylvanian time. The detrital record of YTT in Yukon (YTTn) differs from that observed in YTT rocks in southeastern Alaska (YTTs). Magmatism in YTTs precedes that in YTTn, extending from 400 to 365 Ma and defining a trend from juvenile to evolved εHf signatures. There is a brief period of similarity in evolved magmatism at 350-360 Ma that may indicate interaction between YTTn and YTTs prior to shutoff of arc magmatism in YTTs.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.155
Teacher spread0.152 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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