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Record W1998276833 · doi:10.1144/sp421.5

The role of fluid pressure in contractional systems: examples from the Southern Canadian Rocky Mountains

2015· article· en· W1998276833 on OpenAlexaffabout
Paul A. Mackay

Bibliographic record

VenueGeological Society London Special Publications · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsGeologyFluid pressureSeismologyEarth scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Fold and thrust belts are contractional systems created by tectonic plate collisions, creating stress conditions where the maximum principal stress is horizontal and the minimum principal stress is vertical. The stress orientation favours the development of low-angle reverse faults. The trigger mechanism for thrust activation as a recurring seismic event is related to fluctuations in fluid pressure. The fluctuating fluid pressure creates a temporal cycle of elevated and relaxed fluid pressure that shifts the system in and out of failure conditions. The generation of hydrocarbons from organic material is a source of fluids and a means of temporally fluctuating the fluid pressure. In the southern Canadian Rocky Mountains the major detachments follow organic-rich strata that have generated hydrocarbons. The nature of the fluids impacts the size and distributions of faults within the tectonic wedge. The critical taper of the wedge is modified by the presence of high fluid pressure.

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)0.001
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 score0.019
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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

Citations10
Published2015
Admission routes2
Has abstractyes

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