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Record W2331137075 · doi:10.1190/ice2016-6512907.1

Stratigraphy interpretation of north Atlantic conjugate margins

2016· article· en· W2331137075 on OpenAlexaboutno aff
Ana Margarida Bento, Sean Pyman, Richard Price, Jim Fenton, Richard Windmill

Bibliographic record

VenueInternational Conference and Exhibition, Barcelona, Spain, 3-6 April 2016 · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsStratigraphyGeologyInterpretation (philosophy)ConjugateComputer sciencePaleontologyProgramming languageMathematicsTectonics

Abstract

fetched live from OpenAlex

ABSTRACT The recent multi-million barrel discoveries offshore Newfoundland (Flemish Pass) made by Statoil and partners has stimulated interest in the petroleum systems evaluation of the conjugate European and Canadian Atlantic margins. However, the North Atlantic conjugate margins lack a unified stratigraphic framework. CGG Robertson has, with industry support and the encouragement of the Irish, Canadian and Portuguese licensing authorities, undertaken a petroleum geological review of the Neogene to Palaeozoic succession of the North Atlantic margins. Multiple bioevents have been identified, based on micropalaeontological, nannopalaeontological and palynological studies, associated with the re-interpretation of old reports, revisiting archived slides and analysing new samples from Canada, Ireland and Portugal. These robust bioevents allow detection, quantification and differentiation of hiatal surfaces across the conjugate margin. The identification of the geographical extent and relationships between the pre-rift, syn-rift and post-rift successions has provided exciting new insights into the rifting history of the North Atlantic region and has implications for future deepwater exploration of the Tertiary and Mesozoic succession.

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 score0.083
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.238
Teacher spread0.220 · 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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