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Record W4409967135 · doi:10.1007/s00710-025-00913-5

Evolution of kimberlite exploration – systematic exploration using a ground geophysical toolbox for kimberlites, Slave Craton, NT, Canada

2025· article· en· W4409967135 on OpenAlexaffabout
Darrell Epp, Gary Vivian, Chris Hrkac, Eileen Lyon, Tom E. McCandless, Dave Sacco

Bibliographic record

VenueMineralogy and Petrology · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsQLT (Canada)Geoscience BCInstitute for Circumpolar Health Research
Fundersnot available
KeywordsKimberliteCratonGeologyToolboxGeochemistryEarth sciencePaleontologyTectonicsMantle (geology)Engineering

Abstract

fetched live from OpenAlex

Diamond exploration in the Slave Craton within the Northwest Territories of Canada has been ongoing since the first kimberlite discovery at Point Lake kimberlite in 1991. Thousands of sediment samples have been collected and hundreds, if not thousands, of geophysical surveys have been completed over the past three decades. The results of which have, at times, perplexed explorers, demonstrating that the search for kimberlites is complex and that no silver bullet exists for their discovery. Recently, a more systematic approach to exploration has shown that despite these challenges, there is still great potential to discover economic kimberlites in the Slave Craton. The Kennady North Project (a wholly-owned subsidiary of Mountain Province Diamonds Inc.) has established that a program that methodically incorporates drill targeting and drill hole results systematically with till sampling, airborne geophysics and a toolbox of ground-based geophysics is critical to kimberlite discovery. Applying this systematic approach has led to the discovery of the Kelvin and Faraday kimberlites, which had previously eluded explorers, at least partially due to the bias of searching for the classic “vertical carrot-style” emplacement model. The Kelvin and Faraday kimberlites instead demonstrate emplacement at inclined angles, which produce different geophysical responses, have much smaller surface expressions, yet still contain significant economic potential. A tailored ground geophysical toolbox comprising electromagnetics [horizontal loop (HLEM)], gravity, resistivity surveys [capacitively-coupled (CCR) and snowmobile-towed] and magnetics helped to guide drill targeting at the Kennady North Project. This drill targeting assisted with the identification and delineation of the Kelvin kimberlite into an 8.5 million tonne indicated resource with 13.62 million carats and the Faraday 2 and 3 kimberlites into an inferred resource of 3.94 million tonnes with 7.35 million carats (Vivian et al. 2019 ).

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.373

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0050.006
Scholarly communication0.0040.001
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.232
Teacher spread0.215 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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