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Record W2103686696 · doi:10.2113/gscpgbull.55.4.275

Seismic tomographic cross-sections of the Bowser Basin in northwest British Columbia, Canada

2007· article· en· W2103686696 on OpenAlexaffvenueabout
D. B. Snyder, Brian J. Roberts

Bibliographic record

VenueBulletin of Canadian Petroleum Geology · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsGeologyStructural basinSeismologyPaleontology

Abstract

fetched live from OpenAlex

Abstract First-break travel time picks along about 250 km of the Lithoprobe SNORCLE deep reflection profile were inverted using a 2-D crossing-ray tomographic method to estimate bulk P-wave speed within the uppermost 2 km of crust beneath the Bowser Basin in northwest British Columbia. The purpose was to assess the usefulness of resulting wave-speed models in defining local stratigraphy and structure and in petroleum exploration more generally. Two areas were investigated in detail. Near the Oweegee Dome, deeper levels of exposure at the surface and stratigraphic correlations with a nearby drill hole suggest that a marked regional increase in wave speed occurs at the contact between the lowermost Bowser Lake Group strata and lava flows of the underlying Hazelton Group. Near the northwest corner of the Bowser Basin, a triangle zone inferred from surface structure does not show clearly in the seismic wave-speed model but does contain distinctive horizontal layers of higher wave speed that represent thrust duplexes, igneous intrusions, or mineralization.

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 score0.009
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.169
Teacher spread0.165 · 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
Published2007
Admission routes3
Has abstractyes

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