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Record W7014280628

Petrography, mineralogy, geochemistry and geochronology of the diamondiferous Drybones Bay kimberlite Pipe and Mud lake kimberlite dyke, Northwest Territories

2016· dissertation· en· W7014280628 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2016
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsKimberlitePyroclastic rockGeochronologyMagmaZirconOlivine
DOInot available

Abstract

fetched live from OpenAlex

The Drybones Bay and Mud Lake kimberlites are Ordovician kimberlites located in the Slave Geological Province. The Drybones Bay pipe formed by multiple discrete eruptions, producing several texturally distinct phases of kimberlite, including hypabyssal kimberlite (HK) autoliths, tuffisitic kimberlite (TK), pyroclastic kimberlite (PK) and resedimented volcaniclastic kimberlite (RVK). The recognition of TK suggests this pipe represents a Class 1 kimberlite. The nearby Mud Lake kimberlite is a dolomite-rich HK dyke characterized by macrocrystic and segregation textures. Although the kimberlites are proximal, U-Pb zircon dates indicate they were not emplaced contemporaneously, and geochemical discrepancies that cannot be explained by known magma evolution processes indicate that these rocks formed from distinct parental magmas. Mineralogical and geochemical data is used to evaluate crystallization conditions and diamond potential. New geochemical modeling of compatible trace elements reveals convincing evidence of magma evolution by olivine fractionation, adding substantially to the published research on kimberlite geochemistry.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.857

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.159
Teacher spread0.154 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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