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Record W2181313814 · doi:10.17491/jgsi/2008/710102

The Fort à la Corne Kimberlites, Saskatchewan, Canada: Geology, Emplacement and Economics

2008· article· en· W2181313814 on OpenAlexaffabout
B. Holly Smith

Bibliographic record

VenueJournal of the Geological Society of India · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsKimberliteGeologyPyroclastic rockGeochemistrySubaerialImpact craterCretaceousClastic rockSedimentary rockVolcanoGeomorphologyPaleontologyMantle (geology)

Abstract

fetched live from OpenAlex

Abstract The Cretaceous Fort à la Corne kimberlite province includes at least seventy well preserved bodies ranging up to 200 hectares in size Kimberlite volcanism spanned at least 20 Ma The main bodies formed by a two stage process (i) excavation of shallow craters into Cretaceous sediments, and (ii) crater infilling by subaerial magmatic pyroclastic processes, both during regressions of the Western Intenor Seaway Each of the twenty five bodies investigated is different but dominated by a few volumetrically significant phases of kimberlite Subsequent eruptions formed nested craters within earlier indurated kimberlites Eruption styles varied from Hawaiian and Strombolian to a probable kimberlite-specific type of eruption which formed unique mega-graded beds Separation of olivine grains from the low viscosity melts was a widespread process that resulted in discrete olivine grams forming approximately half of the pyroclasts across the province Ash-sized clasts are not common indicating removal by a large scale sorting process No diatremes, root zones, dykes, hypabyssal or tuffisitic kimberlite or significant amounts of resedimented material were found The contrast in geology of the Fort à la Come bodies supports, rather than negates, the ‘classic’ kimberlite pipe model The Fort à la Come mode of emplacement comprises a second style of eruption or model which is applicable to kimberlites The new models have been an important foundation of the ongoing economic evaluation of the Fort à la Come bodies Applying predictive geology based on knowledge obtained from other kimberlite bodies would have been misleading

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.157
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.008
GPT teacher head0.165
Teacher spread0.157 · 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.

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

Citations21
Published2008
Admission routes2
Has abstractyes

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