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Record W2038666557 · doi:10.1086/651523

<sup>40</sup>Ar/<sup>39</sup>Ar Geochronology and Geochemical Reconnaissance of the Eocene Lowland Creek Volcanic Field, West‐Central Montana

2010· article· en· W2038666557 on OpenAlexaboutno aff
Francis Ö. Dudás, V. Ispolatov, Stephen S. Harlan, Lawrence W. Snee

Bibliographic record

VenueThe Journal of Geology · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyAndesiteAndesitesGeochronologyGeochemistryIgneous rockVolcanic rockCrustPhenocrystVolcanismVolcanoTectonicsPaleontology

Abstract

fetched live from OpenAlex

We report geochronological and geochemical data for the calc‐alkalic Lowland Creek volcanic field (LCVF) in west‐central Montana. 40Ar/39Ar age determinations show that the LCVF was active from 52.9 to 48.6 Ma, with tuff‐forming eruptions at $$52.9\pm 0.14$$ and $$51.8\pm 0.14$$ Ma. These dates span the age range of vigorous Eocene igneous activity in the Kamloops‐Absaroka‐Challis belt. The LCVF evolved upward from basal rhyolites ($$\mathrm{SiO}\,_{2}&gt; 71\,\mathrm{wt}\,\% $$ ) to dacites and andesites ($$\mathrm{SiO}\,_{2}&lt; 62\,\mathrm{wt}\,\% $$ ). Compositional change parallels a transition from early explosive volcanism to late effusive activity. Four geochemical components can be detected in the rocks. A component with $$^{206}\mathrm{Pb}\,/ {}^{204}\mathrm{Pb}\,&lt; 16.5$$ and εNd near −15 is predominant in anhydrous, two‐pyroxene dacites; hydrous rhyolites, rhyodacites, and dacites with εNd below −10 are dominated by a second component; hydrous rocks with $$^{206}\mathrm{Pb}\,/ {}^{204}\mathrm{Pb}\,&gt; 18.3$$ and $$\varepsilon _{\mathrm{Nd}\,}&gt; -9$$ contain a third component; and an andesite with low Nd content and εNd near −9 probably contains a fourth component. The first three components probably derive from the lower and middle crust, whereas the fourth is probably from the lithospheric mantle.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.008
GPT teacher head0.189
Teacher spread0.182 · 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 teacher head, not a consensus.

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

Citations30
Published2010
Admission routes1
Has abstractyes

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