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Record W2342236573 · doi:10.20381/ruor-5312

Sedimentology and Stratigraphy of a Matrix-Poor to Matrix-Rich Depositional Continuum in Proximal Basin Floor Strata, Upper Kaza Group, Windermere Supergroup, B.C., Canada.

2016· dissertation· en· W2342236573 on OpenAlexaboutno aff
Nataša Popović

Bibliographic record

VenueuO Research (University of Ottawa) · 2016
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsnot available
Fundersnot available
KeywordsSedimentologySupergroupGeologyStratigraphySedimentary depositional environmentGroup (periodic table)Matrix (chemical analysis)Structural basinPaleontologyPhysicsTectonicsChemistry

Abstract

fetched live from OpenAlex

Matrix-rich strata (20-70% mud matrix) have been increasingly recognized in deep-marine systems. These beds are thought to be deposited from mud-rich flows in a distal basin-floor setting; however they remain poorly understood, partly because details of lateral lithological changes are poorly known. In this study, matrix-rich strata are common in proximal basin-floor strata of the Neoproterozoic Windermere Supergroup. The objective of this thesis is to provide detailed description and interpretation of the lithological and mineralogical make-up and lateral facies trends of matrix-rich strata in in a unit 40 m thick and 800 m wide. Here, stratigraphic and petrographic analyses identified five facies: classic turbidites; sandstones; clayey sandstones; sandy claystones and fine-grained banded couplets, which laterally are arranged systematically from matrix-poor sandstones to thin-bedded turbidites. This lateral change is interpreted to represent a depositional continuum along the margins of an efflux jet that formed immediately downflow of an avulsion node.

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 score0.119
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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