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Record W2970262961 · doi:10.3997/2214-4609.201901557

Continued 3D Mapping of Jurassic Trends – Orphan Basin Offshore Newfoundland and Labrador, Canada

2019· article· en· W2970262961 on OpenAlexaffabout
D. McCallum, E. Gillis, Victoria Mitchell, D. Norris, N. Montevecchi, Ralph Wright, L. Stead

Bibliographic record

Venue81st EAGE Conference and Exhibition 2019 · 2019
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsNalcor Energy (Canada)
Fundersnot available
KeywordsCoringStructural basinGeologyPetroleum systemSubmarine pipelineIdentification (biology)PaleontologyPetroleum explorationOceanographyKey (lock)PetroleumDrillingSource rockEngineeringComputer scienceEcology

Abstract

fetched live from OpenAlex

Summary Newfoundland and Labrador's exploration strategy continues to build our knowledge and understanding of the petroleum prospectively of the province's under-explored basins. Our partnerships with key industry players like TGS, PGS and Beicip-Franlab are critically important to the successful implementation of this strategy. With the extensive high quality modern broadband 2D data and 3D datasets, continued identification and mapping of the Jurassic trends and additional Jurassic structural leads, all of which are demonstrating strong AVO responses, are imaged in the Orphan Basin. Many of these leads are aligning with sea bed coring results showing the captured hydrocarbons in the core are thermogenic in origin.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.977

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.194
Teacher spread0.184 · 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 teacher head, 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

Citations2
Published2019
Admission routes2
Has abstractyes

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