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Record W7098156777

High velocities and seismic anisotropy in Pleistocene turbidites off Western Canada

2016· article· en· W7098156777 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsnot available
Fundersnot available
KeywordsTurbiditeStructural basinSedimentary depositional environmentReflection (computer programming)SedimentAnisotropySeismic refractionRefraction
DOInot available

Abstract

fetched live from OpenAlex

Summary. The Winona Basin is a young deep water basin along the base of the continental slope off central British Columbia which is filled primarily with turbidite sediments. Seismic reflection profiles in the basin indicate that in places the sediment thickness is greater than 4.0 s two-way travel time, and simple interpretations of seismic refraction data indicate that velocities up to 6.0 kni s- * exist within the sediment section. Because the turbidite sediments are acoustically layered with large velocity contrasts between layers, the sediments are probably highly anisotropic. A simple model t o account for this has been used t o estimate the errors involved in using refraction data t o determine layer thicknesses and average velocities. If the effects of anisotropy are ignored, as they usually are, values for thickness and velocity may be overestimated by as much as 10-20 per cent. Even the corrected velocities are still high, however, and the inferred high densities and high degrees of lithification are remarkable when the youth of the sediments is considered. Nearly the entire depositional history is contained within the Pleistocene, and

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 score0.016
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.009
GPT teacher head0.175
Teacher spread0.166 · 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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