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Record W2155954450 · doi:10.2113/econgeo.106.6.1043

THE ORIGIN OF MINERALIZED FRACTURES AT THE BLUEBELL MINE SITE, RIONDEL, BRITISH COLUMBIA

2011· article· en· W2155954450 on OpenAlexaboutno aff
David P. Moynihan, David R.M. Pattison

Bibliographic record

VenueEconomic Geology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyArchaeologyMining engineeringGeography

Abstract

fetched live from OpenAlex

The Bluebell Pb-Zn deposit is located on the east side of Kootenay Lake in southeastern British Columbia. It is a fracture-controlled replacement deposit hosted in Lower Cambrian marble of the Badshot and Mohican formations. The orebodies trend west-northwest, parallel to a prominent set of fractures that controlled mineralization. These fractures are interpreted to have formed as part of a conjugate set. Contrary to some earlier suggestions, folding played no role in fracture formation. The youngest generation of folds are reinterpreted as having formed through development of shear bands during extension of the layering prior to fracture development. Formation of the fractures also postdated motion on a number of early Tertiary normal faults that are associated with regional extension and alkaline magmatism. West-northwest–trending fractures, which formed as part of a conjugate set, were reactivated and controlled the intrusion of mafic dikes, mineralizing fluids, and minor late faulting. Fracturing, faulting, mafic dike intrusion, and mineralization may be associated with a long-lived basement structure that runs below the area, which could have facilitated the ascent of deep crustal or mantle-derived magma and mineralizing fluids. The results of this study provide a new perspective on exploration strategies for hydrothermal ore deposits in this part of southeastern British Columbia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1370.001

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 head0.012
GPT teacher head0.186
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; both teacher heads agree on what is shown here.

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

Citations4
Published2011
Admission routes1
Has abstractyes

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