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Record W2048303413 · doi:10.3997/2214-4609.20131092

Devonian Grosmont Surface Investigation Using Legacy Seismic Profiles, NE Alberta, CA

2013· article· en· W2048303413 on OpenAlexaboutno aff
Elahe P. Ardakani, Douglas R. Schmitt, Todd Bown

Bibliographic record

VenueProceedings · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological formations and processes
Canadian institutionsnot available
Fundersnot available
KeywordsKarstGeologyDevonianCarbonate rockRidgeCarbonateGeochemistrySinkholeFault (geology)GeomorphologyLate Devonian extinctionPaleontologyEarth scienceSedimentary rockCarboniferousStructural basin

Abstract

fetched live from OpenAlex

The Devonian Grosmont Formation in northeastern Alberta, Canada is the world's largest accumulation of heavy oil in carbonate rocks. The presented paper described the interpretation of the legacy seismic data sets to integrate the surface features of this formation. Results from this work were able to define the surface as a mature karsted surface within observable features such as dolines, karst valleys, karst plain and poljie and a ridge. It is important for future oil prospectors to map and avoid areas such as the poljie, dolines and karst valley to increase certainty of reservoir presence.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.205
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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