MétaCan
Menu
Back to cohort
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 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 score0.013
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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; 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueProceedingsSame topicGeological formations and processesFrench-language works237,207